Oliver Speck
Prof. Dr. rer. nat. habil. Oliver Speck
Institut for Physics
| 1993-1994 | Diploma Thesis in Physics, University Hospital Freiburg (FRG), MR Center, and University of Freiburg (FRG), Department of Physics |
| 04/1994-04/1997 | Ph.D. in Physics University Hospital Freiburg (FRG), MR Center, and University of Freiburg, Department of Physics |
| 04/1997-10/1997 | Research Associate Director: J. Hennig, Ph.D. University Hospital Freiburg (FRG), Dept. of Radiology, MR Center |
| 11/1997-10/1999 | Research Associate Director: T. Ernst, Ph.D. and L. Chang, M.D. UCLA-Harbor UCLA Research & Education Inst., Torrance, CA |
| 11/1999-12/2005 | Staff Research Associate (deputy head of section of MR-physics) Head of Emmy-Noether-Group Director: J. Hennig, Ph.D. University Hospital Freiburg (FRG), Dept. of Radiology, MR Center |
| 09/2005 | Habilitation in Medical Physics at the Department of Diagnostic Radiology, University of Freiburg |
| 01/2006-10/2006 | Research Director University Hospital Freiburg (FRG), Dept. of Diagnostic Radiology |
| since 11/2006 | Prof. for Biophysics and Director of the Dept. Biomedical Magnetic Resonance, Otto-von-Guericke University, Magdeburg |
- Magnetic Resonance in Medicine (Deputy Editor)
- International Society for Magnetic Resonance in Medicine
- European Society for Magnetic Resonance in Medicine and Biology
- Concepts in Magnetic Resonance
- NeuroImage
- Solid State Nuclear Magnetic Resonance
- Swiss National Science Foundation
- Deutsche Forschungsgemeinschaft (German Research Foundation)
- Dutch Technology Foundation
Current projects
Human imaging at meso-scale
Duration: 01.01.2021 to 31.12.2028
It is known from animal work that most mechanisms limiting neural resources manifest at the level of brain microstructure and influence brain functions at different hierarchical levels, such as brain macrostructure, neuronal networks, and behavioural phenotypes. Current research on neural resources in humans, however, often lacks a mechanistic level of explanation due to missing technology and/or methodological expertise needed to describe neuronal changes at the meso-scale (i.e. at the level of cortical layers or neuronal ensembles). This hinders knowledge transfer from mechanistic insights at the micro-scale gained in animal research to macro-scale human brain models and interventions. The CRC initiative has the overall goal to systematically investigate neural resources at the micro-, meso-, and macro-scale by taking an interdisciplinary and multi-scale approach and to link changes in the functional and structural architecture of cortical and subcortical micro-circuits to behavioural performance and cognitive interventions. Technological advancements in meso-scale brain imaging, meso-scale data modelling, and multi-modal and multi-scale data interaction can bridge this gap. The aim of Z02 is to develop and test novel technologies using ultra-high resolution 7 Tesla magnetic resonance imaging (7T MRI) for wider applications in human subjects and primates and to provide them to the researchers of the CRC projects by ensuring (i) usage of appropriate and state-of-the-art MR-sequences that offer reproducible and optimised data quality and (ii) computational tools and analysis pipelines for multi-modal and multi-scale data modelling within and across individuals. Z02 has the overarching goal of modelling the human cortex in three dimensions, that is, both in plane at the cortical surface (dimensions 1&2) and in cortical depth (dimension 3, cf. Kuehn & Sereno 2018, Fig. 1). This approach extends the frequently applied localisation of function in cortical regions, e.g. Brodmann areas, or more advanced and ambitious columnar mapping, to a novel level of detail relevant for cognitive processes (e.g., Larkum et al. 2018). This will allow the CRC projects to target research questions on neural resources in a novel yet undiscovered dimension, while at the same time enabling Magdeburg to maintain its leading position for human brain imaging in Europe.
SFB-TRR 287 A2: 3D-Measurements in dense granular assemblies using hyperpolarised Magnetic Resonance Imaging
Duration: 01.07.2024 to 30.06.2028
Research areas
Biomedical Technology and Medical Physics (205-32)
Biomedical System Technology (407-06)
Due to the limited accessibility of the bulk material to direct detection methods, often only integral flow quantities can be measured at the inlet and outlet of packed bed reactors. The exact understanding of the processes inside these technical systems is, thus, just as difficult as the system design with regard to energy efficiency and product quality. Furthermore, predictions from simulations cannot be experimentally validated in detail. Therefore, in project A2 the three-dimensional (3D) velocity field of the gas flow will be first measured in the reference configuration of the CRC/TRR with spherical and complex shaped particles by means of hyperpolarised phase contrast magnetic resonance imaging (pc-MRI). Three-dimensional, temporally and spatially resolved flow maps of the entire gas volume will be generated. These flow field data are essential and form the basis for the further understanding of the homogeneous and heterogeneous chemical reaction rates in particle beds. Sensors or tracer particles, which in turn can perturb the flow and particle movement, are not required. Optical access is also not necessary and arbitrary geometries are possible. The high flexibility of pc-MRI allows adaptations of the measurement to the requirements, e.g. regarding the sample volume (up to about 40 x 40 x 40 cm in commercial MRI) and the spatial (approx. 1 millimetre) or temporal resolution (approx. 1/10 second). With established MRI methods, usually only liquids can be detected due to their favourable physical properties with regards to generation of magnetisation (also called spin polarisation) and its life-time (relaxation properties). In this project, the transition to gaseous media is made possible by the application of highly innovative hyperpolarisation techniques. With this, the comprehensive three-dimensional, quantitative measurement of gas flow fields in complex geometries of non-transparent particle beds will be possible for the first time. Therefore, in addition to hyperpolarisation of the gas, MRI flow measurement methods for hyperpolarised magnetisation must be established. In addition, the development of materials and measurement setups is required that support the use of hyperpolarised gases without interference with the high spin polarisation. A2 will, therefore, build a continuous flow Xenon hyperpolariser with sufficient flow and polarisation level for fast and accurate MRI detection of gas (WP 1), a Xe-coil for Xe-MRI (WP 2), select and characterise proper materials for building an MR-compatible reference experiment (WP 3), extend a table to MR system for Xe-capability (WP 4), develop 3D pc-MRI flow measurement method for the application in hyperpolarised gas systems (WP 5) and measure and process flow data from the reference configuration (WP 6) to be provided to the simulation projects and to be compared to the other experimental methodology.
Universal Integrated Console for Ultra-High-Field Magnetic Resonance Imaging (UIC4UHFMRI)
Duration: 01.01.2024 to 31.12.2027
Ultra-high field magnetic resonance imaging is an advanced medical imaging technology and plays an important role in the study of brain function and neurobiology. It enables scientists to capture detailed images of the brain and track functional activity in real time. This can contribute to a better understanding of brain diseases, cognitive processes and neurological disorders. The technical goal of this project is to realize a universal integrated console for high-field MRI systems. The MRI console developed in this project surpasses all systems available commercially or as home-built systems to date and will enable OVGU and thus the state of Saxony-Anhalt to expand and secure its flagship activities in the field of MRI and neurosciences in the coming years. Furthermore, the project offers an excellent opportunity for integration into the
high-tech strategy of the state of Saxony-Anhalt with the establishment of semiconductor technology and microelectronics companies. With UIC4UHFMRI, the toolchain from design to system integration of modern semiconductor components is being established at OVGU.
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A4IM - Affordable low-field MRI reference system
Duration: 01.09.2023 to 31.08.2026
The overall goal of this project is to develop low-cost, open-source, low-field MRI systems within the EURAMET network, including hardware components, data acquisition and image reconstruction that are reproducible, fully documented and metrologically characterized.
The specific objectives of the project are:
1. design, development and evaluation of mobile (<300 kg), low-cost (<50 k€) and fully reproducible low-field MRI reference systems (static main field B0 ≈ 50 mT) suitable for human head and limb imaging.
2. development of model-based image reconstruction methods using the reference systems in Objective 1.
3. evaluate the clinical suitability of the developed low-field MRI reference systems through standardized tests involving clinical radiologists to assess imaging performance at different sites.
4. enable translation of the technology and measurement infrastructure developed in the project by providers (e.g. accredited laboratories, device manufacturers), standards developing organizations (e.g. IEC TC 62/SC 62B) and end users (e.g. the clinical community).
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SFB1315 B06
Duration: 01.07.2022 to 30.06.2026
The proposed project aims at understanding how systems level hippocampally-related functional connectivity as well as cortico-cortical microstructure changes indicative of memory engrams develop during memory consolidation. We will use a novel and unique 7T connectome MRI for humans to achieve the highest to-date possible resolution for functional and diffusion magnetic resonance imaging (MRI). This will allow imaging of the emergence of cortico-cortical connectivity and engram-related plasticity in a layer-specific manner in early and late stages of memory consolidation, thereby narrowing the gap between an animal-led and human-led understanding of memory consolidation. As neuromodulatory inputs related to more or less salient memory events are one of the most prominent drivers of the long-term stability of memories we will additionally investigate how a stronger involvement of neuromodulatory and ‘saliency-processing structures’ affects memory consolidation. Moreover, we will assess whether semantic congruency affects the time course of dynamics in the memory consolidation network or memory engram formation.
Vascular resistance and resilience in ALS – an ultrahigh-resolution 7T MRI study of the motor cortex
Duration: 01.10.2022 to 30.06.2026
Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neuromuscular disorder hallmarked by pyramidal cell degeneration of the motor cortex (M1). The underlying causes of sporadic ALS remain largely unknown, limiting its treatment options to supportive measures without any causal therapies. Even though many patients die within 3 to 5 years through respiratory insufficiency, individual ALS disease course and prognosis are highly variable. This is mirrored by distinct motor phenotypes, very long survival times of up to 10 years, and cessation or even reversal of disease progression in individual patients.In the presented proposal we hypothesize that a root cause of clinical ALS heterogeneity is a variable vascular supply of the motor cortex, which mitigates M1 pyramidal cell degeneration (“resistance”) or its impact on motor function (“resilience”). To address this question, we will prospectively examine a selected cohort of 20 ALS patients and 20 age- and sex-matched controls that will undergo 7 Tesla ultra-high field magnetic resonance imaging (MRI) applying angiographic (ToF-MRA) and anatomical sequences (MPRAGE). By visual rating two vascular patterns of M1 supply will be distinguished for the branches of the anterior cerebral artery (medial motor cortex) and middle cerebral artery (lateral motor cortex), respectively: a “single supply” pattern in which the M1 supply is provided by the terminal cortical arteries of one single branch only, or a “double supply” pattern, in which two branches feed the supplying terminal cortical arteries. We assume that a “double supply” pattern results in overlapping perfusion territories of both branches which mitigate M1 pyramidal cell degeneration or its impact on motor function. For quantitative analysis vessel distance mapping will be applied, which assigns each non-vessel voxel the distance to each of the examined arteries and thus consequently allows an approximation of the branches’ perfusion territories. Based upon mediation models the direct effects of the vascular supply patterns and perfusion territories on pyramidal cell degeneration (studied using M1 cortical thickness, global and body-part specific) will be assessed, as well as whether their severity mediates the influence of vascular supply patterns and perfusion territories upon motor function (global and body-part specific), both, at the time of the baseline MRI and longitudinally.Vascular patterns could serve as a new marker to explain the phenotypic variability in ALS, which might prove useful as an additional aspect for an individualized patient counseling regarding disease course and prognosis. Additionally the cerebral vasculature is potentially “dynamic” tissue, whose functionality can be modified through lifestyle and certain drugs. A “vascular approach to therapy” might lead to new avenues in the prevention and treatment of ALS.
Gerätezentrum "Magdeburg UHF-MR" Core Facility
Duration: 01.05.2023 to 30.04.2026
The Magdeburg UHF-MR Core Facility will provide 7T MRI technology and methodology that is unique in Europe. As the first centre in Europe, the Magdeburg UHF-MR Core Facility will operate two human 7T MRI systems, one state-of-the-art 7T MRI and one 7T “Connectome” MRI with unprecedented gradient performance. Users are scientists mainly from the field of basic, applied and clinical neuroscience from different institutions in Magdeburg as well as external researchers.
The main goal is to establish and provide the best possible infrastructure, measurement methods and technologies together with professional support for all imaging researchers. The project is structured into 5 work packages:
- develop and maintain cutting edge methodology
- establish methods to ensure and monitor highest data quality
- provide training and imaging support to the users
- develop and provide digital research data management tools
- establish the organizational structure and administrative procedures
The unique 7T hardware capabilities and the available unique methodological expertise and longest standing 7T MRI experience in Magdeburg form the basis for new superb research opportunities with highest level support and service for the users.
Cooperation in the field of physical-technical MR development, cooperation with SIEMENS Healthcare
Duration: 01.12.2016 to 31.12.2025
The research, development and clinical testing of new MR techniques for imaging and spectroscopy requires close cooperation between SIEMENS and physical-technical and clinical partners and users. SIEMENS and the UNIVERSITY as user are interested in working together within the framework of this contract.
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Research Campus STIMULATE 2nd funding phase - Subproject OvGU, Focus area: iMRI-Solutions - FKZ: 13GW0473A
Duration: 01.10.2020 to 30.09.2025
The project focuses on the field of oncology, with a focus on ablative therapies and image guidance using MRI and CT with the aim of curative treatment of malignant diseases.
The aim is to make image-guided interventions simpler, faster, more cost-effective, gentler and curative so that they become part of routine clinical practice. To this end, three key medical technology challenges have been identified, which are to be solved within four key or cross-cutting topics - iMRI Solutions, iCT Solutions, Immunoprofiling and Computational Medicine.
- Curative therapy: Nowadays, interventions are primarily of a palliative nature. In analogy to the complete surgical removal of malignant tissue (R0 resection), STIMULATE aims to completely ablate the lesion (A0 ablation) and thus cure the patient. The target organs in particular the liver - due to the complex vascular supply - and the lungs - due to the risk of pneumothorax or air embolism - pose considerable challenges in the planning and implementation of image-guided ablative therapies.
- Local and systemic monitoring: Current ablative procedures are purely mechanistic approaches. In the cross-cutting topic of immunoprofiling, STIMULATE considers for the first time - in a translational approach to basic research - the local and systemic interactions of different locoregional therapeutic procedures for monitoring and prognosis of curative A0 therapy.
- Dedicated imaging systems: Currently, MRI and CT devices are used for interventions that have been optimized for diagnostics and can only be used in the operating theatre with makeshift additional equipment. With the expertise available in STIMULATE in the field of imaging, the aim is to research special interventional devices in the key topics of iMRI solutions and iCT solutions .
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Completed projects
DZPG: Deutsches Zentrum für Psychische Gesundheit FKZ: BMBF 01EE2305D
Duration: 01.07.2023 to 30.06.2025
Die schwerwiegenden individuellen und gesamtgesellschaftlichen Folgen psychischer Erkrankungen sind Ausgangspunkt, und deren nachhaltige Beeinflussung das zentrale Ziel des Deutschen Zentrums für Psychische Gesundheit (DZPG). Das BMBF hat mit dem DZPG ein weiteres Gesundheitszentrum etabliert, das mit seinem Fokus auf translationale Gesundheitsforschung sicherstellen wird, dass innovative Präventions-, Diagnose- und Therapieverfahren für psychische Erkrankungen generiert und zeitnah in die Regelversorgung übersetzt werden. Darüber hinaus wird das DZPG Lösungen für inakzeptable gesellschaftliche Ungleichheiten in der Versorgung von Menschen mit psychischen Erkrankungen erarbeiten. Diese gibt es sowohl in der „horizontalen Perspektive“, so z.B. zwischen den ländlichen und städtischen Lebenswelten, als auch in „vertikalen Kontexten“ z.B. bezüglich vulnerabler Gruppen. Um diese Versorgungslücken in der Erwachsenenbevölkerung und bei Kindern und Jugendlichen zu schließen, wird das DZPG ein ambitioniertes translationales Forschungsprogramm auflegen, das die Förderung von psychischer Gesundheit und Resilienz in den Mittelpunkt stellen, die gesellschaftliche Wahrnehmung psychischer Erkrankungen verbessern und die durch psychische Erkrankungen verursachten Belastungen in den nächsten 15 Jahren reduzieren wird. Hauptpartner im DZPG sind die sechs Standorte Berlin/Potsdam, Bochum/Marburg, Halle/Jena/Magdeburg, Mannheim/Heidelberg/Ulm, München/Augsburg, Tübingen und die Repräsentanten des Zentrumsrates. Der Zentrumsrat ist der Zusammenschluss der Betroffenen und Angehörigen. Die übergreifenden Ziele des DZPG sind auch für den Standort Halle/Jena/Magdeburg maßgeblich, zudem folgende Institutionen zählen: Universitätsklinikum Jena (UKJ), Friedrich-Schiller-Universität Jena (FSU), Martin-Luther-Universität Halle-Wittenberg (MLU), Otto-von- Guericke-Universität Magdeburg (OvGU), Universitätsklinikum Magdeburg (UMMD), Leibniz-Institut für Neurobiologie Magdeburg (LIN).
“Quantification of perivascular spaces in neuropsychiatric long-COVID/post-COVID (LC/PC) syndrome as a biomarker for persisting perivascular inflammation and disease trajectories (JE2/TP5)”
Duration: 01.07.2023 to 30.06.2025
Psychiatric symptoms such as fatigue, depression and cognitive impairment are highly prevalent among long-COVID/post-COVID (LC/PC) patients. Among the mechanisms of persistent systemic and intracerebral inflammation proposed to cause LC/PC symptoms, evidence supports the perivascular inflammation hypothesis: SARS-CoV-2 damaging cerebral microvasculature and impeding brain clearance due to its destructive effects on the endothelium. Preliminary results revealed a significant correlation between enlarged perivascular spaces (EPVS) in the basal and symptoms of fatigue in LC/PC patients. We hypothesize that EPVS severity could be dynamically associated with clinical symptom development in LC/PC and will study EPVS dynamics over time to test for a mediating role of EPVS load on psychiatric and cognitive symptoms.
ACCESSORY KIT FOR INTERVENTIONAL PROCEDURES USING MAGNETIC RESONANCE IMAGING
Duration: 05.01.2023 to 04.01.2025
Abstrakt
An accessory kit is provided for interventional procedures using a magnetic resonance imaging scanner. The accessory kit includes a patient support and an electrical connection adapter. The patient support has a first end proximal and a second end distal to the scanner. The distal end is configured to create a space to accommodate a clinician, such as narrowing of the distal end or at least one cutout on a side of the distal end. The electrical connection adapter interfaces with the scanner and a scanner table. The accessory kit is configured so that when the proximal end is extended into the scanner bore, the distal end extends outside the bore. The narrowed width and/or cutout(s) of the exposed distal end and the extended gap between the scanner and scanner table create space on at least one side of the patient support that a clinician may use to access a patient.
Vascular resistance and resilience in ALS - an ultrahigh-resolution 7T MRI study of the motor cortex
Duration: 01.10.2022 to 30.09.2024
Amyotrophic lateral sclerosis (ALS) is a rapidly progressive neuromuscular disease with degeneration of the pyramidal cells of the motor cortex (M1). The cause of the sporadic form of ALS is incompletely understood; treatment of the disease is purely supportive and causal therapeutic approaches are lacking. Although many of the affected patients die within 3 to 5 years of diagnosis due to respiratory muscle insufficiency, the course of the disease and prognosis are extremely heterogeneous in individual cases. This becomes clear on the basis of individual motor phenotypes, long disease courses or a possible regression of motor function losses. In this proposal, we hypothesize that this heterogeneity is based on a variable vascular supply of the motor cortex, which counteracts M1 pyramidal cell degeneration ("resistance") or its motor sequelae ("resilience"). To answer this question, a selected ALS cohort of 20 patients and 20 age- and gender-matched control subjects will be prospectively examined by 7 Tesla ultra-high-field magnetic resonance imaging (MRI) using angiography (ToF-MRA) and anatomical sequences (MPRAGE). Visually, two vascular M1 patterns are distinguished, each separately for the branches of the anterior cerebral artery (medial motor cortex) and those of the middle cerebral artery (lateral motor cortex): singular, i.e. an M1 supply through the terminal cortical small arteries of one branch, or dual, i.e. through the terminal cortical small arteries of two branches. It is assumed that a dual vascular pattern due to overlapping perfusion territories of both branches counteracts pyramidal cell degeneration or its motor sequelae. For quantitative analysis, "vessel distance mapping" is used, which assigns the distance to the examined arteries to each voxel, from which an approximation of the perfusion territories can be derived. Mediation models will be used to investigate direct effects of vascular pattern and perfusion territories on pyramidal cell degeneration (assessed by M1 cortex thickness) and how their severity mediates the influence of vascular pattern and perfusion territories on motor function (global and body part specific) at the time of inclusion MRI and in the long-term course. Vascular patterns could help to explain the phenotypic variability of ALS as a new variable, which could also be used translationally in everyday clinical practice as an additional aspect for individualized patient counseling regarding disease progression and prognosis. The cerebral vasculature represents potentially modifiable tissue whose functionality can be influenced by both medication and lifestyle. In this sense, a "vascular therapy approach" could lead to completely new strategies in the prevention and treatment of ALS.
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SFB-TRR 287 A2: 3D-Measurements in dense granular assemblies using hyperpolarised Magnetic Resonance Imaging
Duration: 01.07.2020 to 30.06.2024
Research areas
Biomedical Technology and Medical Physics (205-32)
Biomedical System Technology (407-06)
Due to the limited accessibility of the bulk material to direct detection methods, often only integral flow quantities can be measured at the inlet and outlet of packed bed reactors. The exact understanding of the processes inside these technical systems is, thus, just as difficult as the system design with regard to energy efficiency and product quality. Furthermore, predictions from simulations cannot be experimentally validated in detail. Therefore, in project A2 the three-dimensional (3D) velocity field of the gas flow will be first measured in the reference configuration of the CRC/TRR with spherical and complex shaped particles by means of hyperpolarised phase contrast magnetic resonance imaging (pc-MRI). Three-dimensional, temporally and spatially resolved flow maps of the entire gas volume will be generated. These flow field data are essential and form the basis for the further understanding of the homogeneous and heterogeneous chemical reaction rates in particle beds. Sensors or tracer particles, which in turn can perturb the flow and particle movement, are not required. Optical access is also not necessary and arbitrary geometries are possible. The high flexibility of pc-MRI allows adaptations of the measurement to the requirements, e.g. regarding the sample volume (up to about 40 x 40 x 40 cm in commercial MRI) and the spatial (approx. 1 millimetre) or temporal resolution (approx. 1/10 second). With established MRI methods, usually only liquids can be detected due to their favourable physical properties with regards to generation of magnetisation (also called spin polarisation) and its life-time (relaxation properties). In this project, the transition to gaseous media is made possible by the application of highly innovative hyperpolarisation techniques. With this, the comprehensive three-dimensional, quantitative measurement of gas flow fields in complex geometries of non-transparent particle beds will be possible for the first time. Therefore, in addition to hyperpolarisation of the gas, MRI flow measurement methods for hyperpolarised magnetisation must be established. In addition, the development of materials and measurement setups is required that support the use of hyperpolarised gases without interference with the high spin polarisation. A2 will, therefore, build a continuous flow Xenon hyperpolariser with sufficient flow and polarisation level for fast and accurate MRI detection of gas (WP 1), a Xe-coil for Xe-MRI (WP 2), select and characterise proper materials for building an MR-compatible reference experiment (WP 3), extend a table to MR system for Xe-capability (WP 4), develop 3D pc-MRI flow measurement method for the application in hyperpolarised gas systems (WP 5) and measure and process flow data from the reference configuration (WP 6) to be provided to the simulation projects and to be compared to the other experimental methodology.
7 Tesla Connectome magnetic resonance tomograph
Duration: 01.02.2020 to 31.03.2023
A 7 Tesla magnetic resonance tomograph (MRT) with unique performance capabilities that far exceed the existing 7 Tesla MRT is being established as a research infrastructure in Magdeburg with the help of the Saxony-Anhalt Science/Infrastructure research program. This research infrastructure combines the ultra-high magnetic field strength and thus sensitivity of 7 Tesla MRI with the strongest imaging gradients ("connectome gradients"), which cause the information coding. The gradients will achieve at least three times the strength and twice the speed of the existing system. This is the logical continuation and expansion of the imaging infrastructure for the neurosciences and secures Magdeburg a leading position in this field of research.
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SFB 1315 - Subproject B06 - Mechanisms and Disorders of Memory Consolidation: From Synapses to the System Level
Duration: 01.01.2018 to 31.12.2022
In subproject B06, we are investigating which functional networks in the brain regulate the consolidation of newly learned information. We want to investigate how dopamine release in the resting phase after learning is associated with long-term memory consolidation and its decline with age. To achieve these goals, we will use multi-modal functional magnetic resonance imaging (fMRI) and molecular imaging (positron emission tomography - PET) with the help of the newly available simultaneous MRI and PET device in Magdeburg. We combine the experimental investigations with computational modeling of brain activity data to better understand the network processes in the brain.
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Upgrade 7 Tesla MRT
Duration: 01.01.2022 to 31.10.2022
The upgrade enables the OVGU's existing 7 Tesla magnetic resonance tomograph to be brought up to the current state of the art of 7 Tesla ultra-high field MRI. The upgrade allows the safe use of multi-channel excitation methods (pTx), which leads to improved image quality in regions of the brain that cannot be homogeneously excited with previous technology (especially in the cerebellum and in the lower area of the temporal lobe). In addition to the hardware and software upgrade of the MRI device, this also requires a new multi-channel transmitting coil. The hardware upgrade is a prerequisite for the use of the latest software generation (VE12) and thus the use of new developments in MRI measurement sequences, in particular multiband technology. Here, new methods of recording allow a larger number of slices with the same measurement time, which are dependent on the more powerful computers and control electronics included in the upgrade. This measure will enable OVGU to carry out fully competitive third-party funded research in the coming years within the framework of EU, BMBF and DFG projects, such as the current SFB 1436. The imaging infrastructure is also an important pillar of the OVGU's Excellence Initiative.
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Vessel distance mapping: Quantification of subcortical arterial and venous vascular patterns to study their interdependency
Duration: 01.07.2020 to 30.06.2022
The integrity and function of the brain is dependent on the inflow and outflow of blood through the arterial and venous vascular system. Subcortical structures involved in motor, sensory, cognitive and behavioral tasks are perfused by the large cerebral arteries. The perfusion territories of these large arteries are spatially variable between subjects. This variability influences the organization of the small, perforating arteries. We hypothesize that this variability in subcortical perfusion territories propagates from the arterial side through the capillary bed into the organization of the subcortical veins. Therefore, we assume that subcortical arterial and venous vessels are interdependent and that different vascular patterns exist. Thus, if the trajectory of a single subcortical vessel changes, this could lead to changes in the surrounding arterial and venous network to maintain a certain pattern of local vascular spacing. To the best of our knowledge, this hypothesized interdependence of arterial-venous patterns has not yet been extensively studied. To non-invasively confirm this hypothesis in living humans, the following objectives were identified:(1) Use ultra-high-field MRI and prospective motion correction to achieve the required high resolutions (voxel size < 0.4 mm) to visualize the perforating arteries and veins.(2) Segment the vasculature using a Vesselness filter and use a distance transformation to calculate vessel distance maps.(3) Finding common, subcortical arterial-venous patterns by unsupervised clustering.(4) Validation of each processing step by expertsAchieving these goals will establish a novel, fully automated technique for analyzing vascular distance patterns. Furthermore, demonstrating the interdependence of the arterial and venous vasculature could have an impact on imaging, diagnosis and treatment of small vessels in general, as a joint analysis would be more beneficial than focusing on a single side of the vasculature. Since the vascular component of neurodegenerative diseases and aging could induce specific vascular patterns, the proposed approach could be used as a new biomarker in future longitudinal studies.
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ABINEP-M4-project 1: Weiterentwicklung von Hochfeld-MR zum in-vivo Mikroskop und Kombination mit MR-PET (Anwendung: Hippocampus-Mapping, Verlaufsdiagnose von Demenzen)
Duration: 01.10.2017 to 30.05.2022
In this ABINEP sup-project high field MRI and MR-PET will be further developed to detect and visualize hippocampal structure and sub-structures. These methods will be applied in clinical studies with subjects in prodromal (non-symptomatic) stages and early stages of dementia.
MEMoRIAL-Module I: Medical Engineering
Duration: 01.09.2016 to 30.04.2022
Medical imaging encompasses a versatile toolkit of methods to generate anatomical images of a single organ or even the entire patient for diagnostic and therapeutic purposes. Radiation-based imaging technologies are of inestimable importance and hence performed in daily clinical practice.
Electromagnetic radiation may, however, cause undesirable side effects. Consequently, methods allowing for dose reduction are expected to prospectively come into focus. This may specifically hold for patients, who need to be scanned periodically for therapy and/or health progress monitoring.
Instead of performing an entire scan per session, prior knowledge derived from preexisting multimodal image data sourcing, anatomical atlases, as well as mathematical models may be integrated - the latter reducing radiation dose and scan duration thus finally saving health expenditures.
In order to do so, available images and data need to be updated based on newly acquired subsampled data.
The application of prior knowledge may furthermore advance minimally invasive interventions by means of intraoperative image acquisition. Within this context, consecutive scans usually show a high degree of similarity while differing only in probe position and respiratory organ motion. Lower radiation loads vs. significant increases in image frame rate may result when spotting those similiarities based on formerly acquired image information.
The integration of prior knowledge therefore holds a great potential for improving contemporary interventional procedures - especially in the field of interventional magnetic resonance imaging (IMRI).
Graduates in medical imaging science, medical engineering or engineering, computer, and natural science will have the opportunity to work with high-tech diagnostic devices such as x-ray examination and computed tomography (CT), state-of-the-art single-photon emission computed tomography (SPECT) and positron emission tomography (PET) within a structured 4-year/48-month PhD track.
MEMoRIAL-M1.4 | Use of prior knowledge for interventional MRI
Duration: 01.01.2018 to 31.03.2022
This sub-project aims at the reconstruction of dynamic time series from fast acquisitions.
Typically, these fast acquisitions are of lower quality (e.g. wrt resolution, contrast, or artefacts) compared to slower scans with higher resolution, the latter being acquired for the purpose of planning. At the same time we know that the object is mainly left unchanged apart from potential non-linear deformations and the presence of an interventional tool (e.g. a needle) with its position being precisely known.
Consequently, a lot is known about the object expecting this prior knowledge to enable the reconstruction of dynamic high resolution and high contrast images.
Therefore, different approaches may be applied including image-based matching and deformation, model-based reconstruction using prior knowledge to support regularisation, or even machine learning methods.
German Ultrahigh Field Imaging (GUFI II)
Duration: 01.07.2017 to 31.12.2021
The GUFI network was founded at the end of 2013 as DFG-funded Core Facility. The initial project duration was three years. The overall goal of GUFI is to facilitate and harmonize the access to German Ultra High Field (UHF) sites. GUFI has made important contributions to addressing these challenges and has identified several new areas of common interest to all German UHF sites. A number of unprecedented milestones have been achieved in building a national UHF Magnetic Resonance (MR) community including establishment of a common presentation and access portal for all UHF MR sites; initiation of regular QA; consensus on access procedures, implant handling and RF coil testing; and regular structured communication between all UHF sites. In a second funding phase, starting 2017, the following goals will be pursued:
- Establishment of an online platform for MR safety training including examination questions to verify attainment of training goals.
- Continuation and extension of establishment of procedures for safe examinations of subjects with implants. Continuation and refinement of QA activities.
- Formulation and publication of White Papers.
- Annual workshops with participation from all GUFI sites to foster communication.
- Planning of first multicenter UHF trials.
- Maintenance and extension of the online web-based communications platform.
- Coordination activities with other international initiatives such as UK7T and Euro-Bioimaging.
- Preparation of access procedures for the infrastructure to be established at National Biomedical Imaging Facilities in Jülich and Heidelberg that have been applied for as part of the National Roadmap for Research Infrastructures of the German Federal Ministry of Education and Research (BMBF).
R&D RF-System for Neonatal MR-Imaging
Duration: 16.04.2018 to 31.12.2021
MR imaging is currently optimized for the examination of adult patients. The examination of newborn and small babies is a challenge for radiology and neonatology (technically and logistically). The startup company Neoscan Solutions is developing a dedicated MR-system for neonatal diagnosis. This system can be installed within a neonatology department due its small footprint (size and weight) and cryogen-free operation. Together with this company and within this cooperation project, we develop the radio-frequency transmit and receive system for this MR operating at the clinically established 1.5T magnetic field strength. This includes transmit and receive RF-coils for the examination of small children but also their implementation into incubators. In addition, patient positioning and patient support will be developed.
MEMoRIAL-M1.7 | Model-based reconstruction MRI
Duration: 01.10.2017 to 31.12.2021
The acquisition of MR images might run considerably slow due to the one-dimensional character of the signal and the need to consecutively measure many data points for a single image. Classically, an image cannot be uniquely reconstructed if the number of measured data points deceeds the number of points in the image.
In this project, prior knowledge derived from other sources than the MR acquisition itself will be used to uniquely reconstruct MR images from less-than-complete measurement data, particularly aiming at faster acquisition in moving organs. Therefore, (prior) knowledge such as information on the position of interventional instruments or the subject's breathing motion (deforming abdominal organs whereas not entirely changing the object itself) will be exploited and incorporated into mathematical models - the latter describing these objects and in turn being parameterised based on measurement data.
R&D Gradient System for Neonatal MR-Imaging
Duration: 15.12.2018 to 15.11.2021
MR imaging is currently optimized for the examination of adult patients. The examination of newborn and small babies is a challenge for radiology and neonatology (technically and logistically). The startup company Neoscan Solutions is developing a dedicated MR-system for neonatal diagnosis. This system can be installed within a neonatology department due its small footprint (size and weight) and cryogen-free operation. Together with this company and within this cooperation project, we develop the gradient system for this MR operating at the clinically established 1.5T magnetic field strength. This includes control, supervision and optimization of the gradient sub-system.
ABINEP-M2-project 3: Modellierung Dopamin-induzierter neuronaler Netzwerk-Aktivität / "Learning conditional associations: rich temporal context and involvement of hippocampus / medial temporal lobe"
Duration: 01.05.2017 to 31.10.2021
Animals exploring unknown environments face problems at multiple time-scales: in the short run, they must solve problems of pattern recognition, scene understanding, decision making and action selection while, in the long run, they must also develop strategies for building an internal representation of the environment as a basis for causal understanding / generative modelling. From a computational point of view, the main difficulty is representing and learning the rich temporal structures and conditionalities that encapsulate the co-dependencies between environment and actions.
Current behavioural tasks – e.g., sequence learning, sequential reaction time tasks, conditional associative learning – barely touch upon these difficult issues. To address this more directly, we will study human learning of arbitrary sensorimotor mappings in the presence of rich temporal context, as well as the neural correlates of such learning in networks involving the hippocampus / medial temporal lobe. Specifically, we hypothesize that rich, quasi-naturalistic, temporal context will (i) dramatically facilitate learning by means of (ii) engaging hippocampus and medial temporal lobe structures.
To investigate these two hypotheses, we will monitor human learning of visuomotor associations in temporal contexts of different complexity. To this end, we will develop novel, quasi-naturalistic, temporal sequences with statistical structure over several time-scales. To investigate neural correlates, we will study functional correlations of voxel-based BOLD activity in pairs of (small) brain areas – e.g., hippocampus and inferior temporal cortex – relying on 3T or 7T high-resolution MRI. Recent work, by ourselves and others, shows that voxel-level functional correlations can delineate with high fidelity the cortical circuits engaged in different task states.
MEMoRIAL-M1.2 | Under-sampled MRI for percutaneous intervention
Duration: 01.05.2017 to 31.07.2021
Background
Undersampling MR images leads to an insufficient amount of data for conventional reconstruction techniques, making it an ill posed inverse problem. Deep neural networks provide promising solutions to the problem, but lack explainability.
Objective
MRI acceleration, especially golden angle radial sampling, in the process making real time MRI possible.
Methods
>> Utilizing and improving data-driven neural network approaches and their analysis
Results
>> Up-to-date deep learning reconstruction methods for undersampled radial MR signal data in image and signal domain with competitive results in that field of research
Conclusions
Current methods still mark the starting point since they are still missing key points like holoporphic activation functions for computing complex gradients throughout neural nets.
Orignality
>> Problem specific methods that are tailored to the underlying complex valued MR problem
Keywords
>> MRI, undersampling, reconstruction, deep learning, unblackboxing
Gefäßdistanzkartierung: Quantifizierung der subkortikal arteriellen und venösen Gefäßmuster um deren Wechselwirkung zu untersuchen
Duration: 01.07.2020 to 30.06.2021
The integrity and function of the brain rely on the supply and draining of blood through the arterial and venous vasculature, respectively. Subcortical structures, involved in motor, sensory, cognitive and behavioral tasks, are perfused by the major cerebral arteries. The perfusion territories of these large arteries are spatially variable between subjects. This variability influences the organization of small, perforating arteries. We hypothesize that this variability in subcortical perfusion territories is propagated from the arterial side through the capillary bed into the organization of subcortical veins. Thus, we suspect that subcortical arterial and venous vasculatures are interdependent and that distinct vessel patterns exist. Therefore, if the trajectory of an individual, subcortical vessel is altered, this could induce changes within its surrounding arterial and venous network to maintain a specific pattern of local vessel-vessel-distances. To our best knowledge, this hypothesized interdependency of the arterial-venous patterns has not been studied comprehensively to date. To validate non-invasively this hypothesis in living humans, the following objectives have been identified:
- Use ultra-high field MRI and prospective motion correction to achieve the required high resolutions (voxel size < 0.4mm) to depict the perforating arteries and veins
- Segment the vasculature using a vesselness filter and apply distance transform to compute vascular distance maps
- Find common, subcortical arterial-venous patterns using unsupervised clustering
- Validate each processing step thoroughly by experts
By addressing these objectives, a novel, fully automatic technique to analyze vascular distance patterns will be established. Further, proving the interdependency of the arterial and venous vasculature could have an impact on small vessel imaging, diagnose, and treatment in general, as an interdependency might render a joint assessment more promising that focusing on a single side of the vasculature. As the vascular component of neurodegenerative diseases and aging could induce specific vessel-vessel-pattern progressions, the proposed approach could be used as a new biomarker in future, longitudinal studies.
Human imaging at meso-scale
Duration: 01.07.2020 to 31.12.2020
It is known from animal work that most mechanisms limiting neural resources manifest at the level of brain microstructure and influence brain functions at different hierarchical levels, such as brain macrostructure, neuronal networks, and behavioural phenotypes. Current research on neural resources in humans, however, often lacks a mechanistic level of explanation due to missing technology and/or methodological expertise needed to describe neuronal changes at the meso-scale (i.e. at the level of cortical layers or neuronal ensembles). This hinders knowledge transfer from mechanistic insights at the micro-scale gained in animal research to macro-scale human brain models and interventions. The CRC initiative has the overall goal to systematically investigate neural resources at the micro-, meso-, and macro-scale by taking an interdisciplinary and multi-scale approach and to link changes in the functional and structural architecture of cortical and subcortical micro-circuits to behavioural performance and cognitive interventions. Technological advancements in meso-scale brain imaging, meso-scale data modelling, and multi-modal and multi-scale data interaction can bridge this gap. The aim of Z02 is to develop and test novel technologies using ultra-high resolution 7 Tesla magnetic resonance imaging (7T MRI) for wider applications in human subjects and primates and to provide them to the researchers of the CRC projects by ensuring (i) usage of appropriate and state-of-the-art MR-sequences that offer reproducible and optimised data quality and (ii) computational tools and analysis pipelines for multi-modal and multi-scale data modelling within and across individuals. Z02 has the overarching goal of modelling the human cortex in three dimensions, that is, both in plane at the cortical surface (dimensions 1&2) and in cortical depth (dimension 3, cf. Kuehn & Sereno 2018, Fig. 1). This approach extends the frequently applied localisation of function in cortical regions, e.g. Brodmann areas, or more advanced and ambitious columnar mapping, to a novel level of detail relevant for cognitive processes (e.g., Larkum et al. 2018). This will allow the CRC projects to target research questions on neural resources in a novel yet undiscovered dimension, while at the same time enabling Magdeburg to maintain its leading position for human brain imaging in Europe.
CRC 779, Project A07 "Functional control of dopamine release in humans: changes in aging and the modifying role of the locus coeruleus (LC)"
Duration: 01.01.2016 to 31.12.2019
The goal of project A07 is to delineate the functional network level regulation of dopamine release in response to novelty and action for reward and to investigate the relationship between dopamine release and memory consolidation in young and old adults. To achieve these goals, we will continue our successfully established multimodal approach of combining imaging at 3T, 7T and PET. We will achieve a direct integration of fMRI and dopamine release by using a new, truly simultaneous MR-PET facility in Magdeburg. We will also determine whether a norardrenergic brain region, the locus coeruleus, may be a bottleneck for dopamine-release in the hippocampus.
CRC 779, Project A12 "Habenular (dys)function in decisions on approach and avoidance" (Prof. Speck/Prof. Ullsperger)
Duration: 01.01.2016 to 31.12.2019
Project A12 addresses the role of the habenula (Hb) in motivated behaviour of humans. The Hb is an important relay on a major descending pathway from the forebrain to the brain stem with predominantly inhibitory influence on monoaminergic nuclei, thereby controlling release of dopamine and serotonin to the forebrain. The project aims at understanding the contribution of the Hb to active and passive avoidance and to learning from aversive events. This comprises studying habenular activity, its structural and functional embedding in pallido-habenulo-mesencephalo-striatal networks, and its neurochemical interactions. To this end, high-resolution structural, diffusion-weighted and functional MRI, pharmacological challenges, and in-vivo receptor density mapping using positron emission tomography will be performed in healthy volunteers. Understanding habenular functions is important not only for fundamental neurosciences but also for clinical neuropsychiatry, because dysfunction of the Hb has been suggested to contribute to the pathophysiology of psychiatric disorders, such as affective disorders and addiction. Therefore, we will search for volume and connectivity aberrations of the Hb in patients with addiction.
STIMULATE
Duration: 01.01.2015 to 31.12.2019
The Interventional MR Imaging research group within the STIMULATE research campus is conducting joint research between SIEMENS and OVGU into special protocols (sequences) for the use of MRI imaging in interventions and testing them for their potential for improvement. The primary goals are real-time imaging capability with high tumor contrast and, together with the other partner Metria Inc., automatic tracking of the surgical instrument for permanent visualization. In the medium term, new contrast mechanisms such as tissue elasticity or conductivity are to provide complementary information for tumour identification and visualization.
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RGR-based motion tracking for real-time adaptive MR imaging and spectroscopy
Duration: 01.08.2014 to 31.07.2019
In this project, funded by the National Institute of Health, methods for prospective motion corrected MRI are developed. These methods enable examination of motion-prone subjects without the need for rescanning and with improved image quality.
Highly Accelerated Distortion-Free Diffusion-Weighted MR Imaging at Ultra High Field (7T): Gray Matter Characterization (DFG)
Duration: 01.05.2016 to 31.05.2019
Single-shot echo-planar imaging (EPI) is a well-established technique with moderate spatial resolution but high imaging efficiency. It is widely adapted in various brain imaging applications such as functional MRI (fMRI), perfusion weighted MRI, and diffusion tensor imaging (DTI). EPI, however, is very sensitive to inhomogeneities induced by the main magnetic field as well as magnetic susceptibility differences in the object. These effects cause phase disturbances due to the low effective bandwidth in the phase encoding direction, leading to distortions of the image geometry and signal intensity. Moreover, in EPI-based diffusion weighted imaging (DWI), these distortions additionally vary according to the diffusion encoding direction due to eddy currents induced by the rapid and large changes of the magnetic field associated with the ramp-up and ramp-down of these encoding gradients. Since field inhomogeneities are directly proportional to the strength of the main magnetic field, these distortions are increased at high field strengths of 3 Tesla and above, and become a significant obstacle for EPI-based applications at ultra high field (UHF) such as 7T. In this project, we propose the development, implementation and testing of an improved approach to measure, characterise, and compensate strong EPI distortions. The development and evaluation will be performed at 7T in phantoms and human subjects. The project covers an implementation of the improved method for fMRI applications and its further extension for reliable DTI applications. Significantly improved stability and imaging properties of EPI allowing more sensitive experimental results and higher positional accuracy are predicted for the proposed method. This will be achieved without prolonged scan times since all data directly enter the DTI results.
Motion Correction for MRI, cooperation with KinetiCor
Duration: 01.11.2013 to 31.10.2017
Within the subcontract #1 between KinetiCor and the OVGU, methods that were developed in my department (BMMR) at the OVGU are transferred to a new location and expanded. The methods were developed on a 7T MRT built in 2004 and are being further developed for devices of the latest design and different magnetic field strengths. This requires modifications and adaptations to the methods, including new developments for coupling and calibrating the devices and measuring methods. Motion correction is an essential aspect of our current research portfolio and therefore this joint research work with our partner KinetiCor and the University of Freiburg, which is also a bilateral partner of KinetiCor, is of significant interest to our research, which also benefits from it. I therefore classify the work as application research with the aim of gaining knowledge and extending the possible applications to other field strengths and device configurations.
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German Ultrahigh Field Imaging (GUFI)
Duration: 01.12.2013 to 31.05.2017
Within the past few years, seven centers for human ultra-high-field (UHF) magnetic resonance (MR) imaging have been set up in Germany. To make this expensive and highly complex technology accessible to a larger number of researchers, organizational cooperation of the UHF MR centers is crucial. To achieve this goal, all German UHF centers have decided to establish a national network called German Ultrahigh Field Imaging (GUFI), which will be coordinated by the centers in Essen and Magdeburg. Within the proposed project, vital organizational structures will be created at both the administrative and technical levels. In particular, communication between the centers and external users will be facilitated via a web portal. On the technical level, the project involves the exchange of latest imaging protocols and in particular the development of new approaches to ensure common qualitystandards for the obtained image and spectral data, optimized for the challenges of UHF MR systems, so that external users can be assured of ideal conditions and so that measurements on different UHF MR systems can be compared.
Does multivariate pattern analysis of functional magnetic resonance data benefit from high resolution and
Duration: 01.07.2013 to 31.12.2016
Multivariate pattern analysis (MVPA) of functional magnetic resonance data has recently been widely used inthe neurosciences. MVPA promises to yield information about brain function with high spatial resolution.Recently, however, conflicting results were published concerning the information carried by functionalmagnetic resonance data at different spatial scales and their contribution to classification analyses. In thepresent project, we intend to investigate to what degree the high spatial resolution and sensitivity yielded athigh magnetic field strength contributes to an improved classification of functional activation patterns. To thisend we vary field strength (3T and 7T), spatial resolution and sensitivity and investigate their influence understimulation conditions that create neuronal excitation patterns in the sub-millimeter versus multiple-millimeterscale. The overall goal of the project is the characterization of factors influencing multivariate pattern analysisof functional magnetic resonance data and, subsequently, the optimization of future experimental designsusing MVPA.
HiMR - Ultra-High Field Magnetic Resonance Imaging
Duration: 01.11.2012 to 31.10.2016
The High field Magnetic Resonance (HiMR) Initial Training Network aims to train the future leaders of academic and industrial research in the fundamental science and novel applications of ultra-high field (UHF) in vivo magnetic resonance (MR), in order to address an increasing and currently unmet demand from academia and industry for such specialists. The highly complex and multi-faceted nature of UHF MR means that excellent training can only be provided by immersing ESRs in an environment that integrates different research areas, sectors and groups.
The HiMR ITN is centred on a cutting edge, multidisciplinary research program that exploits the complementarities of the participants. This research programme is organised into four themes each focused on a crucial area of development of UHF. The first focuses on improved structural imaging, advancing our understanding of the origins of contrast in MRI scans and developing non-invasive biomarkers for multiple sclerosis. The second theme is centred upon exploiting UHF to develop ultra-high resolution functional MRI (fMRI) which will be very important in basic neuroscience research. It also aims to make fMRI more quantitative, thus encouraging its uptake in the clinic. The third theme aims to exploit the enhanced sensitivity of MR spectroscopy (MRS) at UHF in developing highly specific biomarkers. The final theme will develop novel hardware for both research and in the clinic, and methods of monitoring and correcting motion which limits in-vivo MR resolution. Finally the HiMR ITN will provide a unique opportunity to measure safety outcomes over a large group of workers.
The interdisciplinary and intersectoral training program will provide a platform for training ESRs to become specialists in UHF MR, whilst also furnishing them with experience of a broad range of work environments, experimental techniques and theoretical knowledge relevant to the full range of in vivo MR.
Highly Accelerated Distortion-Free Diffusion-Weighted MR Imaging at Ultra High Field (7T) (DFG)
Duration: 01.09.2012 to 31.08.2015
Single-shot echo-planar imaging (EPI) is a well-established technique with moderate spatial resolution but high imaging efficiency. It is widely adapted in various brain imaging applications such as functional MRI (fMRI), perfusion weighted MRI, and diffusion tensor imaging (DTI). EPI, however, is very sensitive to inhomogeneities induced by the main magnetic field as well as magnetic susceptibility differences in the object. These effects cause phase disturbances due to the low effective bandwidth in the phase encoding direction, leading to distortions of the image geometry and signal intensity. Moreover, in EPI-based diffusion weighted imaging (DWI), these distortions additionally vary according to the diffusion encoding direction due to eddy currents induced by the rapid and large changes of the magnetic field associated with the ramp-up and ramp-down of these encoding gradients. Since field inhomogeneities are directly proportional to the strength of the main magnetic field, these distortions are increased at high field strengths of 3 Tesla and above, and become a significant obstacle for EPI-based applications at ultra high field (UHF) such as 7T. In this project, we propose the development, implementation and testing of an improved approach to measure, characterise, and compensate strong EPI distortions. The development and evaluation will be performed at 7T in phantoms and human subjects. The project covers an implementation of the improved method for fMRI applications and its further extension for reliable DTI applications. Significantly improved stability and imaging properties of EPI allowing more sensitive experimental results and higher positional accuracy are predicted for the proposed method. This will be achieved without prolonged scan times since all data directly enter the DTI results.
Neuron-Verbund "REVlS": Restitution von Sehleistungen nach Schlaganfall durch nicht-invasive elektrische Hirnstimulation
Duration: 01.04.2012 to 31.03.2015
1. Vorhabenziel; REVIS will study visual system plasticity following posterior infarcts in stroke patients and animals. Specifically, we will evaluate the effects of a new non-invasive current brain stimulation method to achieve vision restoration. There are 11 Mio stroke patients worldwide that suffer from damage to lhe visual system, with 2.1 Mio new cases annually which have significant subjective impairments in everyday life. We attempt to improve brain plasticity with non-invasive alternating and direct current stimulation (applied transorbitally or transcranially) and thereby achieve clinical improvements such as better independence, return to work, improved quality of Iife (orienting, reading) and greater mobility. 2. Arbeitsplanung; We will look for signs of local and global plasticity (changes in receptive fields, activations and connectivities) in strokepatients with visual field loss before and after brain current stimulation to achieve vision restoration using functional tests, EEG, and MRI measurements.The Magdeburg part of the project will be carried out by B. Sabel, C.Gall (Inst. of Med. Psychol., project coordination) and O. Speck (Inst. of Exp. Physics), all at the University of Magdeburg. As part of the REVIS consortium, human studies will also be conducted as a joint effort with lhe partners P. Rossini (Rome) and T. Tatlisumak (Helsinki) and animal studies with V. Waleszczyk (Warsaw). Commercial collaborating partner is EBS Technologies GmbH (Kleinmachnow).
4D phase contrast magnetic resonance imaging at 3Tesla for the engineering sector, cooperation with Volkswagen
Duration: 15.08.2014 to 31.12.2014
Phase-contrast MR imaging is a widely used technique in clinical applications to visualize flow conditions in vessels, e.g. in the aortic arch or in the intracranial vessels. In this project, this technique is used in a non-medical environment together with the industrial partner Volkswagen to answer engineering questions.
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STIMULATE Research Campus, Interventional MRI
Duration: 01.03.2014 to 31.12.2014
Precise knowledge of the position of the instruments relative to the patient's anatomy is crucial for every intervention. In addition, the spatial correspondence of the preliminary images with the current intraoperative imaging is essential for planning the procedure. Therefore, research focuses on different methods of tracking the position of instruments in the patient, patients in imaging devices and physiologically induced patient movement. Based on the findings on the different tracking modalities, the imaging modalities and the instruments are evaluated with regard to their suitability for combination with these devices. In addition to the direct and automatic positioning of imaging and instruments, such external tracking systems can be used to record physiological parameters during surgery and imaging.
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Euro-BioImaging - Research infrastructure for imagingtechnologies in biological and biomedical sciences (Preparatory Phase)
Duration: 01.12.2010 to 31.05.2014
MI - Access to Innovative TechnologiesThe objectives of WG Access to Innovative Technologies - Medical Imaging (MI) are
- To survey existing European infrastructure enabling innovative MI technologies.
- To identify the needs of the scientific community with regard to instrument developments and access to the identified innovative MI technologies including Ultra-High Field MR (UHF-MR), Novel X-ray based Phase-Contrast Imaging (PCI) and Emerging Imaging Technologies (EIT) such as combination of MR and PET, SPECT, or MEG (MR-PET, MR-SPECT, MEGMR), Electron Paramagnetic Resonance Imaging (EPRI), and Magnetic Particle Imaging (MPI).
- To search for additional emerging MI developments, which may be considered for inclusion in the forward planning of Euro-BioImaging infrastructure.
- To determine the bottlenecks for providing access to innovative MI technologies.
- To explore the feasibility of providing access to the identified innovative MI technologies by proof-of-concept studies.
- To develop a comprehensive, long-term plan for the implementation of European access to innovative MI technologies.
STIMULATE -> Imaging
Duration: 01.03.2013 to 28.02.2014
Different imaging modalities are used repeatedly in the planning, performance and monitoring of minimally invasive procedures. However, the superimposition of image data is often only possible to a limited extent or through subsequent registration.
In STIMULATE, the "Imaging" project is evaluating ways to further improve modalities for use in planning and performing image-guided minimally invasive procedures in feasibility studies. Innovative approaches for imaging using 3D robot-based angiography and magnetic resonance imaging, novel photon detectors and intravascular imaging are being investigated in order to define long-term research programs in the main phase. The focus is, for example, on ways of improving image quality, shortening measurement times and reducing patient doses, as well as increasing the safety of the work area and user-friendliness.
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Untersuchung glutamaterger Störungen bei depressiven Patienten anhand STEAM MRS im Hochmagnetfeld
Duration: 01.06.2010 to 31.03.2013
Advances in Magnetic Resonance (MR) neuroimaging tools have greatly contributed to recent developments in the understanding of biological processes in psychiatric diseases such as Major Depressive Disorder. Using functional MRI (fMRI), a subset of specific brain regions that experience characteristic alterations of brain responses during well-delineated psychological conditions have been identified. While some consistencies were found with structural MR assessments and postmortem studies, the molecular basis of these alterations is largely unknown. This is due, primarily, to the inherent technical difficulties encountered in the leading non-invasive imaging technique available: Magnetic Resonance Spectroscopy (MRS). In animal models, and postmortem studies in humans, deficiencies in specific cellular targets within the glutamatergic system, e.g. the glial glutamate re-uptake from the synaptic cleft and its subsequent conversion to glutamine, have been reported. Such glutamatergic origins of dysfunction are further supported by pharmacological evidence of the beneficial effects of glutamate-modulating agents in depression, suggesting treatment-related changes of metabolite levels in a subset of regions. Further systematic investigations in psychiatric neuroimaging studies are primarily hindered by technical limitations resulting in an inability to discern glutamate and glutamine in MR-spectra at field strengths of up to 3 Tesla. Recent single-voxel solutions to circumvent the lack of sufficient line separation resulted in relatively large voxels that had to be measured for up to 20 minutes to obtain reliable metabolite separation. Studies to date were thus unable to systematically investigate brain regions with adequate resolution given the functional heterogeneity of key brain regions known from functional imaging studies. The long acquisition duration for each location further prevented investigations of regional specificity via assessments of a greater numbers of regions. Our project thus aims to develop an optimized MRS method to accomplish these goals using a STEAM-based sequence at ultra high field strength of 7 Tesla.
INUMAC - Imaging of Neuro Disease Using High Field MR and Contrastophors
Duration: 01.01.2008 to 31.12.2012
The major goals of this project are to develop new technology to overcome the limitations of ultra high field imaging in humans (higher than 7 Tesla). The project consortium consists of University Freiburg, Siemens Medical Systems, and Bruker Biospin. The University Magdeburg is sub-contractor to the University Freiburg and Siemens Medical Systems and involved in the development of methods for real-time scanner control and parallel transmission.
Linking the Microscopic and Macroscopic World: Systematic Study of Water Macromolecule Exchange as a Basis for Ultra-High Field MR Phase Contrast Imaging, CBBS
Duration: 01.10.2008 to 31.12.2012
The project aims at linking microscopic water-macromolecule exchange processes with the macroscopic MRI phase contrast detected at 7-T in the human brain. As the basis for further development, we will first characterize the WME interaction under carefully controlled experimental conditions with high resolution NMR spectroscopy.Different macromolecule parameters, such as molecular size, molecular weight, temperature, viscosity, pH, ionic strength etc. will be studied systematically. This will be extended to structural factors (protein sub-domains, ?-helix and ?-sheet content, etc), that are closely related to protein conformation. Protein cleavage and 2D/3D NMR spectroscopy will be used to study the correlation between structural factors and WME.To extend the WME model for in vivo quantification, a good understanding of the macromolecule distributions in brain tissues and their contributions to the phase contrast is required. This will be achieved by systematic macromolecule determination in tissue extracts from different mouse brain regions (cortex, cerebellum, striatum, hippocampus, thalamus, etc) and different cell components, including cytosolic, myelin, cell membrane, and synaptic fractions. The macromolecule distribution will be correlated with in vivo phase imaging and magnetization transfer studies of the same mouse to quantitatively determine the macromolecule contribution to the phase contrast. This will be further extended with an EAE (experimental autoimmune encephalomyelitis) mouse model to study multiple sclerosis. A detailed understanding of the WME and the in vivo phase contrast from animal studies will form the basis for quantitative phase imaging studies in MS patients.The project addresses the following main scientific questions: i. How do macromolecules interact with water? ii. Is it possible to observe dynamic protein conformation changes using WME? iii. What is the in vivo macromolecule distribution and its contribution to the WME frequency shift as determined by MR phase contrast imaging? iv. How can the WME model be used to study quantitatively in vivo pathologies involving macromolecule alternation? This project is based on a four-partner-network between the Department of Biomedical Magnetic Resonance, the Institute for Chemistry, the Dept. Neurology II, Otto-von-Guericke University, and the Institute for Neurobiology (LIN).
Entwicklung von Hochfrequenzspulen für 7T Magnetresonanztomographie
Duration: 01.10.2008 to 31.03.2012
Die Bildqualität in der Magnetresonanztomographie wird u.a. durch die Stärke und Homogenität des messbaren NMR-Signals bestimmt. Mit der Einführung des 7T MRT hat hier eine neue Ära begonnen, mit Magdeburg als Vorreiter. Das Potential dieses Ultrahochfeldgerätes (UHF) kann derzeit noch nicht voll ausgeschöpft werden, da die Hochfrequenz-Sende- und -Empfangstechnik optimiert werden muss. Hierzu werden spezielle Spulenkonfigurationen wie etwa Phase-Array-Spulen benötigt, welche derzeit nur für den Kopfbereich und von nur einer Firma kommerziell angeboten werden. Die Etablierung von HF-Kompetenz und die Entwicklung optimaler Spulen ist das Ziel des Antrages. Die erworbenen Kenntnisse und technischen Fähigkeiten sollen sekundär in Kooperationen mit der Wirtschaft und anderen Instituten weiterentwickelt und vermarktet werden. Das Projekt fügt sich harmonisch in den Schwerpunkt Biophysik und weiche Materie der FNW ein und kann als fakultätsübergreifender Kristallisationspunkt für die Initiativen im Bereich Medizintechnik gesehen werden.
Imaging of Neuro Disease Using High Field MR and Contrastophors (INUMAC)
Duration: 01.01.2009 to 31.10.2011
The major goals of this project are to develop new technology to overcome the limitations of ultra high field imaging in humans (higher than 7 Tesla). The project consortium consists of University Freiburg, Siemens Medical Systems, and Bruker Biospin. The University Magdeburg is sub-contractor to the University Freiburg and Siemens Medical Systems and involved in the development of methods for real-time scanner control and parallel transmission.
Neue Methoden für die Ultrahochfeld Magnetresonanztomographie - Preis für Angewandte Forschung
Duration: 01.01.2008 to 31.12.2010
Preisgeld für den Preis für Angewandte Forschung in Sachsen-Anhalt 2007, zur Förderung von Wissenschaft und Forschung.
Teilprojekt A3 des SFB 779/1: Perzeptuelles Verstärkungslernen: Der Beitrag neuronaler Fehlersignale zur visuellen Mustererkennung
Duration: 01.01.2008 to 31.12.2010
Menschliche visuelle Mustererkennung unterliegt einer erheblichen Plastizität: Wenn Probanden über längere Zeit trainieren, einfache Reizmuster zu unterscheiden, dann können sie die Präzision ihrer Antworten erheblich verbessern, solange Trainings- und Testbedingungen sehr ähnlich sind. Die genauen Mechanismen dieser hochselektiven Verbesserung visueller Mustererkennung sind bis heute nicht geklärt.
In diesem Projket wird untersucht, wie der Aufbau perzeptueller Kompetenzen im visuellen System durch sog. Fehlersignale unterstützt wird. Fehlersignale resultieren aus Interaktionen der Basalganglien und des präfrontalen Kortex und indizieren Differenzen zwischen erwarten und tatsächlichen Ereignissen. Diese Differenzen werden als Belohnung / Bestrafung oder, abstrakter, als Erfolg / Misserfolg kodiert und sind Bestandteil des Systems des Verstärkungslernens, das diese Feedback-Inforation verwendet, um Verhalten in Bezug auf das gewählte Ziel zu optimieren. Die hier geplanten Studien haben das Ziel, neutrale Mechanismen von perzeptuellem Lernen durch Fehlersignale zu identifizieren. Dabei kommen neue MR Verfahren (Anwendung von statistischer Mustererkennung auf hochauflösende 3T und 7T fMRT-Daten) und eine Kombination multimodaler räumlich-zeitlicher Parameter zum Einsatz.
Deutsch-Chinesischer Ultra-Hochfeld MRT Workshop German-Chinese Ultra-High-Field MRI Workshop
Duration: 01.01.2010 to 30.06.2010
Motivation für die Durchführung díeses Treffens von Wissenschaftlern auch China und Deutschland von Forschungsstätten mit Hochfeld-Magnetresonanztomographie (MRT) ist die Etablierung von Hochfeld (7T) Tier-MRT und die Errichtung des ersten 7T-Human-MRT in China. Zudem befindet sich in Deutschland die größte Forschungsgemeinschaft im Bereich der Hochfeld-MRT außerhalb der USA und in Magdeburg wurde 2005 der erste 7T-Human-MRT in Europa in Betrieb genommen.
Adaptive distortion correction techniques for high-field magnetic resonance neuroimaging
Duration: 01.11.2007 to 28.02.2010
The use of single-shot echo-planar imaging (EPI) has grown dramatically over recent years. A number of advanced brain imaging applications in functional neuroimaging, e.g. functional MRI (fMRI) and diffusion tensor imaging (DTI), use EPI as the imaging module. EPI, however, is susceptible to a number of imaging artefacts and geometric image distortions due to inhomogeneities of the main magnetic field within the sample. These inhomogeneities induced by magnetic susceptibility differences in the sample or by main field inhomogeneities are often regarded as inherently constant in time. Especially for long time-series acquisitions with continuous and repetitive scans, system instabilities, ferro-shim heating or subject s motion and respiration can introduce time dependant changes in the field homogeneity. These result in time variant changes in image distortions leading to degradation and to artefacts in time-series analyses. These effects become increasingly important at high field strengths of 3 Tesla and above, and can become a significant obstacle for EPI applications at 7T. In this project we propose an approach to dynamically measure, characterise and compensate for geometric image distortions in EPI. The project covers various EPI applications ranging from functional MRI to diffusion tensor imaging. The methods, which are to be developed, will be evaluated at various field strengths ranging from 1.5T to 7T. They will significantly improve stability and imaging properties of EPI to allow more sensitive experimental results and higher positional accuracy.
Faster than BOLD: New Concepts and Applications for the Examination of Spatiotemporal Mechanisms of Brain Activity
Duration: 01.09.2004 to 31.08.2007
Neue Methoden zur Untersuchung der neuronalen Aktivierung mittels Magnetresonanztomographie werden in idesem von der Hertie-Stiftung geförderten Projekt entwickelt und untersucht. Das gängige Messverfahren beruht auf dem BOLD Effekt, welcher relativ langsam (1s) einen indirekten Effekt der Gehirnaktivität misst. Neue Verfahren sollen eine direktere und schnellere Messung erlauben.
Highly efficient 31P-CSI using SSFP methods
Duration: 01.04.2005 to 31.08.2007
31P-Spektroskopie ist von höchstem Interesse, da viele entscheidende Metaboliten des Zellstoffwechsels MR-sichtbare Moleküle sind, welche Phosphor enthalten. Pathologische Veränderung des Zellstoffwechsels, wie etwa durch ischämische Ereignisse hervorgerufen, können mittels 31P-Spektroskopie detektiert, beurteilt und in ihrem Verlauf oder während Therapie verfolgt werden. Hierzu gehören unter anderem Pathologien, die durch Gefäßerkrankungen hervorgerufen werden, wie etwa Schlaganfälle des Gehirns, Herzinfarkte oder aufgrund peripherer Gefäßerkrankungen minderdurchblutete Muskelgruppen. Die MR-spektroskopische Messung der 31P-Metaboliten ist jedoch aufgrund ihrer geringen Konzentration und Sensitivität im Vergleich zur Protonenbildgebung sehr zeitaufwendig. Durch die Kombination von hohen statischen Magnetfeldern mit effizienten und schnellen Verfahren zur Signalgenerierung und Bildaufnahme aus der 1H-Bildgebung können spektroskopische 31P-Aufnahmen in für die klinische Anwendung akzeptablen Zeiten durchgeführt werden. Hierzu soll in diesem Projekt das neu entwickelte und vorgestellte Verfahren des 31P-SSFP CSI bis zur klinischen Anwendbarkeit weiterentwickelt und an Patientengruppen mit verschiedenen Pathologien eingesetzt werden. Neben dieser Entwicklung und Erprobung der statischen Bildgebung soll auch untersucht werden, inwieweit die Methode sich zur direkten Visualisierung der lokalen metabolischen Transferrate von Phosphokreatin mittels Magnetization Transfer Imaging einsetzen lässt.
- Method for magnetic resonance imaging of moving objects (103 28 423.0)
- Method for magnetic resonance using steady state signals (10138961.2)
2025
Peer-reviewed journal article
Serum anti-NMDA receptor antibodies are linked to memory impairment 12 months after stroke
Arlt, Friederike A.; Sperber, Pia S.; Rennenberg, von Regina; Gebert, Pimrapat; Teegen, Bianca; Georgakis, Marios K.; Fang, Rong; Dewenter, Anna; Görtler, Michael; Petzold, Gabor; Wunderlich, Silke; Zerr, Inga; Dichgans, Martin; Prüß, Harald; Endres, Matthias; Liman, Thomas; Nolte, Christian H.; Kerti, Lucia; Wittenberg, Tatjana; Scheitz, Jan Friedrich; Nave, Alexander Heinrich; Kufner, Anna; Bode, Felix J.; Stösser, Sebastian; Meißner, Julius Nicolai; Ebrahimi, Taraneh; Nordsiek, Julia; Beckonert, Niklas Michael; Hermann, Peter; Schmitz, Matthias; Goebel, Stefan; Schütte-Schmidt, Julia; Nuhn, Sabine; Volpers, Corinna; Dechent, Peter; Bähr, Matthias; Glanz, Wenzel; Tiedt, Steffen; Waegemann, Karin; Janowitz, Daniel; Ikenberg, Benno; Bermkopf, Kathleen; Huber, Christiane; Wagner, Michael; Neumann, Katja; Spottke, Annika; Stöcker, Tony; Dühring, Marco; Speck, Oliver; Düzel, Emrah; Bartenstein, Peter
In: Molecular psychiatry - [London] : Springer Nature, Bd. 30 (2025), Heft 4, S. 1359-1368, insges. 10 S.
Model‐based perfusion reconstruction with time separation technique in cone‐beam CT dynamic liver perfusion imaging
Haseljić, Hana; Frysch, Robert; Kulvait, Vojtěch; Werncke, Thomas; Brüsch, Inga; Speck, Oliver; Schulz, Jessica; Manhart, Michael; Rose, Georg
In: Medical physics - Hoboken, NJ : Wiley . - 2025, insges. 15 S.
2024
Abstract
Treatment monitoring of irreversible electroporation in a potato model with a two-shot CP/CPMG-RARE sequence and spiral sampling
Belker, Othmar; Gerlach, Thomas; Hubmann, Max Joris; Speck, Oliver; Wacker, Frank; Hensen, Bennet; Gutberlet, Marcel
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2024, Artikel 3659 [Konferenz: ISMRM & ISMRT Annual Meeting & Exhibition, Singapore, 04-09 May 2024]
Limits of prospective geometric slice selection correction in off-center MRI
Seibt, Janis; Speck, Oliver
In: ESMRMB 2024 - ESMRMB, Artikel 222 [Meeting: 2024 ESMRMB 40th Annual Scientific Meeting, Barcelona, 2 - 5 October 2024]
Simulation of the transmit performance of 8-channel arrays for 7T head-imaging with a large diameter transmit coil
Hubmann, Max Joris; Kowal, Robert; Orzada, Stephan; Speck, Oliver; Maune, Holger
In: ESMRMB 2024 - ESMRMB, Artikel 379 [Meeting: 2024 ESMRMB 40th Annual Scientific Meeting, Barcelona, 2 - 5 October 2024]
Potential of metasurface resonators for low-field MRI systems
Kowal, Robert; Hubmann, Max Joris; Knull, Lucas; Düx, Daniel Markus; Gutberlet, Marcel; Hensen, Bennet; Maier, Florian; Wacker, Frank; Speck, Oliver; Maune, Holger
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2024, Artikel 1572 [Konferenz: ISMRM & ISMRT Annual Meeting & Exhibition, Singapore, 04-09 May 2024]
Tikhonov regularization with high signal-to-noise ratio 3 dimensions priors on highly accelerated 4 dimensions body magnetic resonance imaging
Akrasirakul, Sorravit; Setakornnukul, Jiraporn; Puangragsa, Utumporn; Sathitwatthanawirot, Chanida; Mattern, Hendrik; Speck, Oliver; Yarach, Uten
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg : Springer, Bd. 37 (2024), Heft Supplement 1, S. S210-S211, Artikel 125 [Meeting: 2024 ESMRMB 40th Annual Scientific Meeting, Barcelona, 2 - 5 October 2024]
MR-active needle guides with wireless metasurface coils for transperineal prostate interventions
Kowal, Robert; Knull, Lucas; Hubmann, Max Joris; Vogt, Ivan; Düx, Daniel; Gutberlet, Marcel; Hensen, Bennet; Wacker, Frank; Speck, Oliver; Maune, Holger
In: 14th International Interventional MRI Symposium - Leipzig . - 2024, S. 28 [Symposium: 14th Interventional MRI Symposium, Annapolis, Maryland, October 17-18, 2024]
Advances in musculoskeletal imaging - the potential of wireless metasurface coils
Düx, Daniel Markus; Kowal, Robert; Schröer, Simon; Maune, Holger; Speck, Oliver; Wacker, Frank; Gutberlet, Marcel; Hensen, Bennet
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2024, Artikel 0483 [Konferenz: ISMRM & ISMRT Annual Meeting & Exhibition, Singapore, 04-09 May 2024]
First experience with MR thermometry and assessment of the ablation zone in microwave ablation of a bioprotein phantom on a 0.55T scanner
Belker, Othmar; Gerlach, Thomas; Krafft, Axel Joachim; Maier, Florian; Requardt, Martin; Horstmann, Dominik; Rose, Gerd; Speck, Oliver; Wacker, Frank; Hensen, Bennet; Gutberlet, Marcel
In: 14th International Interventional MRI Symposium - Leipzig . - 2024, S. 17 [Symposium: 14th Interventional MRI Symposium, Annapolis, Maryland, October 17-18, 2024]
Investigating the feasibility of MR-based conductivity measurement during electroporation of multi-conductivity agarose phantom on a clinical 1.5 T MRI
Belker, Othmar; Gerlach, Thomas; Hubmann, Max Joris; Müller, Noah; Eisenmannm, Marcel; Rose, Gerd; Speck, Oliver; Wacker, Frank; Hensen, Bennet; Gutberlet, Marcel
In: 14th International Interventional MRI Symposium - Leipzig . - 2024, S. 86 [Symposium: 14th Interventional MRI Symposium, Annapolis, Maryland, October 17-18, 2024]
Book chapter
MRI metasurface enhancements at different clinical field strengths
Kowal, Robert; Hubmann, Max Joris; Knull, Lucas; Vogt, Ivan; Düx, Daniel; Gutberlet, Marcel; Hensen, Bennet; Wacker, Frank; Speck, Oliver; Maune, Holger
In: 2024 IEEE MTT-S International Microwave Biomedical Conference (IMBioC) , 2024 - [Piscataway, NJ] : IEEE, S. 125-127 [Konferenz: 2024 IEEE MTT-S International Microwave Biomedical Conference, IMBioC, Montreal, QC, Canada, 11-13 June 2024]
Peer-reviewed journal article
Kardiovaskuläre Prävention in Sachsen-Anhalt - Notwendigkeit und neue Perspektiven - Cardiovascular prevention in Saxony-Anhalt - necessity and new perspectives
Müller, Patrick; Herzog, Maximilian; Duderstadt, Yves; Kunz, Matthias; Lechner, Katharina; Meyer, Frank; Schmeißer, Alexander; Meißler, Saskia; Ahrens, Dörte; Neumann, Katja; Mattern, Hendrik; Speck, Oliver; Behme, Daniel; Dunay, Ildikò Rita; Seeland, Ute; Schreiber, Stefanie; Braun-Dullaeus, Rüdiger
In: Die Innere Medizin - Berlin : Springer Medizin, Bd. 65 (2024), Heft 11, S. 1137-1146
VesselBoost - a python toolbox for small blood vessel segmentation in human magnetic resonance angiography data
Xu, Marshall; Ribeiro, Fernanda L.; Barth, Markus; Bernier, Michaël; Bollmann, Steffen; Chatterjee, Soumick; Cognolato, Francesco; Gulban, Omer F.; Itkyal, Vaibhavi; Liu, Siyu; Mattern, Hendrik; Polimeni, Jonathan R.; Shaw, Thomas B.; Speck, Oliver; Bollmann, Saskia
In: Aperture Neuro - Organization for Human Brain Mapping . - 2024, Heft 4, insges. 13 S.
Reducing electromagnetic interference in MR thermometry - A comparison of setup configurations for MR-guided microwave ablations
Schröer, Simon; Düx, Daniel; Löning Caballero, Josef Joaquin; Glandorf, Julian; Gerlach, Thomas; Horstmann, Dominik; Belker, Othmar; Gutt, Moritz; Wacker, Frank; Speck, Oliver; Hensen, Bennet; Gutberlet, Marcel
In: Zeitschrift für medizinische Physik - Amsterdam [u.a.] : Elsevier . - 2024, insges. 10 S.
Risk factors and clinical significance of post‐stroke incident ischemic lesions
Fang, Rong; Düring, Marco; Bode, Felix J.; Stösser, Sebastian; Meißner, Julius Nicolai; Hermann, Peter; Liman, Thomas; Nolte, Christian H.; Kerti, Lucia; Ikenberg, Benno; Bernkopf, Kathleen; Glanz, Wenzel; Janowitz, Daniel; Wagner, Michael; Neumann, Katja; Speck, Oliver; Düzel, Emrah; Gesierich, Benno; Dewenter, Anna; Spottke, Annika; Waegemann, Karin; Görtler, Michael; Wunderlich, Silke; Zerr, Inga; Petzold, Gabor; Endres, Matthias; Georgakis, Marios K.; Dichgans, Martin
In: Alzheimer's and dementia - Hoboken, NJ : Wiley, Bd. 20 (2024), Heft 12, S. 8412-8428
High-sensitivity cardiac troponin T and cognitive function over 12 months after stroke - results of the DEMDAS study
Freiin von Rennenberg, Regina; Nolte, Christian H.; Liman, Thomas; Hellwig, Simon; Riegler, Christoph Paul; Scheitz, Jan Friedrich; Georgakis, Marios K.; Fang, Rong; Bode, Felix J.; Petzold, Gabor; Hermann, Peter; Zerr, Inga; Görtler, Michael; Bernkopf, Kathleen; Wunderlich, Silke; Dichgans, Martin; Endres, Matthias; Speck, Oliver
In: Journal of the American Heart Association - New York, NY : Association, Bd. 13 (2024), Heft 6, Artikel e033439, insges. 16 S.
Abstract Book 5 - OHBM 2024 Annual Meeting
Xu, Marshall; Ribeiro, Fernanda L.; Liu, Siyu; Shaw, Thomas B.; Mattern, Hendrik; Chatterjee, Soumick; Speck, Oliver; Gulban, Omer Faruk; Hartung, Grant; Polimeni, Jonathan R.; Barth, Markus
In: Aperture Neuro - Organization for Human Brain Mapping, Bd. 4 (2024), Heft Issue Suppl 1, S. 3160-3798
Joint B0 and image reconstruction in low-field MRI by physics-informed deep-learning
Schote, David; Winter, Lukas; Kolbitsch, Christoph; Rose, Georg; Speck, Oliver; Kofler, Andreas
In: IEEE transactions on biomedical engineering / Institute of Electrical and Electronics Engineers - New York, NY : IEEE, Bd. 71 (2024), Heft 10, S. 2842-2853
Beyond Nyquist - a comparative analysis of 3D deep learning models enhancing MRI resolution
Chatterjee, Soumick; Sciarra, Alessandro; Dünnwald, Max; Ashoka, Anitha Bhat Talagini; Vasudeva, Mayura Gurjar Cheepinahalli; Saravanan, Shudarsan; Sambandham, Venkatesh Thirugnana; Tummala, Pavan; Oeltze-Jafra, Steffen; Speck, Oliver; Nürnberger, Andreas
In: Journal of imaging - Basel : MDPI, Bd. 10 (2024), Heft 9, Artikel 207, insges. 34 S.
Design requirements for human UHF magnets from the perspective of MRI scientists
Ladd, Mark E.; Quick, Harald H.; Scheffler, Klaus; Speck, Oliver
In: Superconductor science and technology - Bristol : IOP Publ., Bd. 37 (2024), Heft 11, S. [1]-17, Artikel 113001, insges. 17 S. [Gesehen am 16.04.2025]
Nichtinvasive funktionelle Lungenbildgebung mit hyperpolarisiertem Xenon - Noninvasive functional lung imaging with hyperpolarized xenon
Anikeeva, Mariia; Sangal, Maitreyi; Speck, Oliver; Norquay, Graham; Zuhayra, Maaz; Lützen, Ulf; Peters, Josh; Jansen, Olav; Hövener, Jan-Bernd
In: Die Radiologie - [Berlin] : Springer Medizin Verlag GmbH, Bd. 62 (2022), Heft 6, S. 475-485
Investigation of alternative RF power limit control methods for 0.5T, 1.5T, and 3T parallel transmission cardiac imaging - a simulation study
Petzold, Johannes; Schmitter, Sebastian; Silemek, Berk; Winter, Lukas; Speck, Oliver; Ittermann, Bernd; Seifert, Frank
In: Magnetic resonance in medicine - New York, NY [u.a.] : Wiley-Liss, Bd. 91 (2024), insges. 17 S. [Online first]
Joint B0 and image reconstruction in low-field MRI by physics-informed deep-learning
Schote, David; Winter, Lukas; Kolbitsch, Christoph; Rose, Georg; Speck, Oliver; Kofler, Andreas
In: IEEE transactions on biomedical engineering / Institute of Electrical and Electronics Engineers - New York, NY : IEEE, Bd. 71 (2024), Heft 10, S. 2842-2853
Cortical thickness of the posterior cingulate cortex is associated with the ketamine-induced altered sense of self - an ultra-high field MRI study
Danyeli, Lena; Şen, Zümrüt Duygu; Colic, Lejla; Opel, Nils; Refisch, Alexander; Blekic, Nikolai; Macharadze, Tamar; Kretzschmar, Moritz Andreas; Munk, Matthias Hans Joachim; Gaser, Christian; Speck, Oliver; Walter, Martin; Li, Meng
In: Journal of psychiatric research - Amsterdam [u.a.] : Elsevier Science, Bd. 172 (2024), S. 136-143
Exploration of interpretability techniques for deep COVID-19 classification using chest X-ray images
Chatterjee, Soumick; Saad, Fatima; Sarasaen, Chompunuch; Ghosh, Suhita; Krug, Valerie; Khatun, Rupali; Mishra, Rahul; Desai, Nirja; Radeva, Petia; Rose, Georg; Stober, Sebastian; Speck, Oliver; Nürnberger, Andreas
In: Journal of imaging - Basel : MDPI, Bd. 10 (2024), Heft 2, Artikel 45, insges. 22 S.
DDoS-UNet - incorporating temporal information using dynamic dual-channel UNet for enhancing super-resolution of dynamic MRI
Chatterjee, Soumick; Sarasaen, Chompunuch; Rose, Georg; Nürnberger, Andreas; Speck, Oliver
In: IEEE access / Institute of Electrical and Electronics Engineers - New York, NY : IEEE, Bd. 12 (2024), S. 99122-99136
Impact of unit cell density on grid and stripe metasurfaces for MRI receive enhancement
Kowal, Robert; Knull, Lucas; Vogt, Ivan; Hubmann, Max Joris; Düx, Daniel; Hensen, Bennet; Wacker, Frank; Speck, Oliver; Maune, Holger
In: IEEE journal of electromagnetics, RF and microwaves in medicine and biology - New York, NY : IEEE . - 2024, insges. 8 S. [Online first]
Dissertation
The impact of respiratory motion on electromagnetic fields at ultra-high field cardiac magnetic resonance imaging
Schön, Natalie; Speck, Oliver
In: Magdeburg: Universitätsbibliothek, Dissertation Otto-von-Guericke-Universität Magdeburg, Fakultät für Naturwissenschaften 2024, 1 Online-Ressource (ix, 169 Seiten, 24,27 MB) [Literaturverzeichnis: Seite 123-135][Literaturverzeichnis: Seite 123-135]
Incorporation of prior knowledge into dynamic MRI reconstruction
Sarasaen, Chompunuch; Rose, Georg; Speck, Oliver
In: Magdeburg: Universitätsbibliothek, Dissertation Otto-von-Guericke-Universität Magdeburg, Fakultät für Elektrotechnik und Informationstechnik 2024, 1 Online-Ressource (xix, 129 Seiten, 28,98 MB) [Literaturverzeichnis: Seite 101-122][Literaturverzeichnis: Seite 101-122]
On radio-frequency implant safety in parallel transmission MRI
Petzold, Johannes; Speck, Oliver
In: Braunschweig: Physikalisch-Technische Bundesanstalt, Presse und Öffentlichkeitsarbeit, Dissertation Otto-von-Guericke-Universität Magdeburg, Fakultät für Naturwissenschaften 2024, 1 Online-Ressource (vii, 138 Seiten, 19,22 MB) - (PTB-Bericht; Diss; 6), ISBN: 978-3-944659-35-0 [Literaturverzeichnis: Seite 119-133][Literaturverzeichnis: Seite 119-133]
Prospektiv bewegungskorrigierte in-vivo 4D Phasenkontrastbildgebung bei 7 Tesla
Stucht, Daniel; Bernarding, Johannes; Speck, Oliver
In: Magdeburg: Universitätsbibliothek, Dissertation Otto-von-Guericke-Universität Magdeburg, Fakultät für Informatik 2024, 1 Online-Ressource (xv, 159 Seiten, 38.94 MB) [Literaturverzeichnis: Seite 125-143][Literaturverzeichnis: Seite 125-143]
Non-peer-reviewed journal article
Corrigendum to “Cross-sectional study of retrospective self-reported childhood emotional neglect and inhibitory neurometabolite levels in the pregenual anterior cingulate cortex in adult humans” [Neurobiol. Stress, 25 (July 2023), 100556]
Herrmann, Luisa; Ade, Johanna; Kühnel, Anne; Widmann, Annina; Demenescu, Liliana Ramona; Li, Meng; Opel, Nils; Speck, Oliver; Walter, Martin; Colic, Lejla
In: Neurobiology of Stress - Amsterdam [u.a.] : Elsevier, Bd. 30 (2024), Artikel 100630, insges. 1 S.
2023
Abstract
Altered resting-state fMRI BOLD signal fluctuations in the spectrum of Alzheimer’s dementia and in patients with white matter hyperintensities
Behrenbruch, Niklas; Incesoy, Enise I.; Bernal, Jose; Menze, Inga; Vockert, Niklas; Kleineidam, Luca; Buerger, Katharina; Wolfsgruber, Steffen; Spottke, Annika; Fließbach, Klaus; Laske, Christoph; Perneczky, Robert; Peters, Oliver Hubertus; Priller, Josef; Schneider, Anja; Heneka, Michael Thomas; Wagner, Michael; Teipel, Stefan; Wiltfang, Jens; Speck, Oliver; Perosa, Valentina; Yakupov, Renat; Jessen, Frank; Düzel, Emrah; Mattern, Hendrik; Schreiber, Stefanie; Ziegler, Gabriel; Maass, Anne
In: Alzheimer's and dementia - Hoboken, NJ : Wiley, Bd. 19 (2023), Heft Suppl. 16, Artikel e078315, insges. 5 S.
Markerless monocular head tracking for pediatric MRI
Bartsch, L.; Röll, S.; Speck, Oliver
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg : Springer, Bd. 36 (2023), S. S129-S130
Predicting image quality from k-space aware motion detection
Bartsch, L.; Röll, S.; Speck, Oliver
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg : Springer, Bd. 36 (2023), S. S133-S134
Enabling in vivo assessment of motor cortex vessel dominance patterns using 7T MRI and vessel distance mapping
Mietzner, Grazia; Schreiber, Frank; Lümkemann, Lilli; Brüggemann, Jascha; Sciarra, Alessandro; Knoll, Christoph; Kühn, Esther; Speck, Oliver; Schreiber, Stefanie; Mattern, Hendrik
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg : Springer, Bd. 36 (2023), Heft Suppl. 1, S. S213-S214, Artikel P175 [Meeting: ESMRMB 2023 online, 39th Annual Scientific Meeting, 4-7 October 2023]
Wireless MRI metasurface to enhance head coil performance
Kowal, Robert; Vogt, Ivan; Hubmann, Max Joris; Speck, Oliver; Maune, Holger
In: Konferenz: 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Sydney, 24. - 27. Juni 2023, IEEE EMBC 2023 - Sydney
Curvature adapted Wireless Metasurface Resonators for MR-guided Interventions
Knull, Lucas; Kowal, Robert; Hensen, Bennet; Wacker, Frank; Speck, Oliver; Maune, Holger
In: 6th Conference on Image-Guided Interventions - Mannheim . - 2023, S. 61-62 [Konferenz: 6th Conference on Image-Guided Interventions, IGIC 2023, Mannheim, 19-20 October 2023]
FAIR benchmarking of 7T MRI antennas - case for a standardized protocol for RF transmit element performance assessment
Hubmann, Max Joris; Nurzed, Bildgun; Niendorf, Thoralf; Speck, Oliver; Maune, Holger
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2023, Artikel 4242
Concurrent MR‐PET investigation of memory consolidation and dopaminergic modulation in ageing
Yi, Yeo-Jin; Garcia-Garcia, Berta; Johansson, Jarkko; Betts, Matthew; Speck, Oliver; Kreißl, Michael; Düzel, Emrah; Hämmerer, Dorothea
In: Alzheimer's and dementia - Hoboken, NJ : Wiley, Bd. 19 (2023), Heft Suppl. 24, Artikel e082937, insges. 1 S.
Combining vessel distance mapping and non-negative matrix factorization to identify arterial and venous patterns in the putamen
Mattern, Hendrik; Schreiber, Stefanie; Speck, Oliver
In: 2023 ICP Network MeetingUtrecht, November 2023, Utrech
Addressing electromagnetic interference during MR-guided ablations
Schröer, Simon; Löning Caballero, Joseph Joaquin; Düx, Daniel Markus; Glandorf, Julian; Gerlach, Thomas; Wacker, Frank; Speck, Oliver
In: Konferenz: 6th Conference on Image-Guided Interventions, IGIC 2023, Mannheim, 19-20 October 2023, 6th Conference on Image-Guided Interventions - Mannheim . - 2023, S. 38
The potential of ultra-high resolution 7T T2-weighted TSE to assess the glymphatic system’s structure
Mattern, Hendrik; Speck, Oliver
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2023, Artikel 3180
The effect of imaging parameters, aging, and circadian rhythm on Freesurfer's estimates: A single subject study at 7T over 7 years
Mattern, Hendrik; Lüsebrink-Rindsland, Jann Falk Silvester; Speck, Oliver
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2023, Artikel 2017
Complex-valued fourier primal-dual - undersampled MRI reconstruction in hybrid-space
Chatterjee, Soumick; Ernst, Philipp; Speck, Oliver; Nürnberger, Andreas
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2023, Artikel 4955
FAIR benchmarking of 7T MRI antennas - case for a standardized protocol for RF transmit element performance assessment
Hubmann, Max Joris; Nurzed, Bilguun; Niendorf, Thoralf; Speck, Oliver; Maune, Holger
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2023, Artikel 4242
Exploiting the inter-rater disagreement to improve probabilistic segmentation
Chatterjee, Soumick; Gaidzik, Franziska; Sciarra, Alessendro; Mattern, Hendrik; Gabor, Janiga; Speck, Oliver; Nürnberger, Andreas; Pathiraja, Sahani
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2023, Artikel 0810
Simulation and comparison of transmit elements for 7T head-imaging with a large diameter transmit coil
Hubmann, Max Joris; Kowal, Robert; Orzada, Stephan; Wagner, Piet; Seifert, Frank; Speck, Oliver; Maune, Holger
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2023, Artikel 4583
Enhancing vessel continuity in deep learning based segmentation using maximum intensity projection as loss
Chatterjee, Soumick; Varma Chintalapati, Karthikesh; Radhakrishna, Chethan; Ram Kumar, Sri Chandana Hudukula; Sutrave, Raviteja; Mattern, Hendrik; Speck, Oliver; Nürnberger, Andreas
In: ISMRM & ISMRT Annual Meeting & Exhibition - Concord, CA : International Society for Magnetic Resonance in Medicine . - 2023, Artikel 3769 [Meeting: ISMRM & ISMRT Annual Meeting & Exhibition, Toronto, 03-08 June 2023]
Distortion correction at ultrahigh field: Benefit of deviation from ‘‘best’’ VAT
Tung, Yi-Hang; Speck, Oliver
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg : Springer, Bd. 36 (2023), S. S64-S65
Book chapter
Liver segmentation in time-resolved C-arm CT volumes reconstructed from dynamic perfusion scans using time separation technique
Chatterjee, Soumick; Haseljić, Hana; Frysch, Robert; Kulvait, Vojtěch; Semshchikov, Vladimir; Hensen, Bennet; Wacker, Frank; Brüsch, Inga; Werncke, Thomas; Speck, Oliver; Nürnberger, Andreas; Rose, Georg
In: 2022 IEEE 5th International Image Processing, Applications and Systems Conference / IEEE International Conference on Image Processing Applications and Systems , 2022 - [Piscataway, NJ] : IEEE . - 2023, insges. 7 S.
Complex network for complex problems - a comparative study of CNN and Complex-valued CNN
Chatterjee, Soumick; Tummala, Pavan; Speck, Oliver; Nürnberger, Andreas
In: 2022 IEEE 5th International Image Processing, Applications and Systems Conference / IEEE International Conference on Image Processing Applications and Systems , 2022 - [Piscataway, NJ] : IEEE . - 2023, insges. 5 S.
Peer-reviewed journal article
Cross-sectional study of retrospective self-reported childhood emotional neglect and inhibitory neurometabolite levels in the pregenual anterior cingulate cortex in adult humans
Herrmann, Luisa; Ade, Johanna; Kühnel, Anne; Widmann, Annina; Demenescu, Liliana Romona; Li, Meng; Opel, Nils; Speck, Oliver; Walter, Martin; Colic, Lejla
In: Neurobiology of Stress - Amsterdam [u.a.] : Elsevier, Bd. 25 (2023), Artikel 100556
Germany’s journey toward 14 Tesla human magnetic resonance
Ladd, Mark E.; Quick, Harald H.; Speck, Oliver; Bock, Michael; Dörfler, Arnd; Forsting, Michael; Hennig, Jürgen; Ittermann, Bernd; Möller, Harald E.; Nagel, Armin Michael; Niendorf, Thoralf; Remy, Stefan; Schäffter, Tobias; Scheffler, Klaus; Schlemmer, Heinz-Peter; Schmitter, Sebastian; Schreiber, Laura; Shah, N. Jon; Stöcker, Tony; Uder, Michael; Villringer, Arno; Weiskopf, Nikolaus; Zaiss, Moritz; Zaitsev, Maxim
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg : Springer, Bd. 36 (2023), Heft 2, S. 191-200
Liver segmentation using turbolift learning for CT and cone-beam C-arm perfusion imaging
Haseljić, Hana; Chatterjee, Soumick; Frysch, Robert; Kulvait, Vjtěch; Semshchikov, Vladimir; Hensen, Bennet; Wacker, Frank; Brüsch, Inga; Werncke, Thomas; Speck, Oliver; Nürnberger, Andreas; Rose, Georg
In: Computers in biology and medicine - Amsterdam [u.a.] : Elsevier Science, Bd. 154 (2023), Artikel 106539
It is the locus coeruleus! Or… is it? - a proposition for analyses and reporting standards for structural and functional magnetic resonance imaging of the noradrenergic locus coeruleus
Yi, Yeo-Jin; Lüsebrink-Rindsland, Jann Falk Silvester; Ludwig, Mareike; Maaß, Anne; Ziegler, Gabriel; Yakupov, Renat; Kreißl, Michael; Betts, Matthew; Speck, Oliver; Düzel, Emrah; Hämmerer, Dorothea
In: Neurobiology of aging - Amsterdam [u.a.] : Elsevier Science, Bd. 129 (2023), S. 137-148
Vessel distance mapping - a novel methodology for assessing vascular-induced cognitive resilience
Garcia-Garcia, Berta; Mattern, Hendrik; Vockert, Niklas; Yakupov, Renat; Schreiber, Frank; Spallazzi, Marco; Perosa, Valentina; Haghikia, Aiden; Speck, Oliver; Düzel, Emrah; Maass, Anne; Schreiber, Stefanie
In: NeuroImage - Orlando, Fla. : Academic Press, Bd. 274 (2023), Artikel 120094, insges. 12 S.
The 3D structural architecture of the human hand area is nontopographic
Doehler, Juliane; Northall, Alicia; Liu, Peng; Fracasso, Alessio; Chrysidou, Anastasia; Speck, Oliver; Lohmann, Gabriele; Wolbers, Thomas; Kühn, Esther
In: The journal of neuroscience - Washington, DC : Soc., Bd. 43 (2023), Heft 19, S. 3456-3476
Cerebral small vessel disease burden and cognitive and functional outcomes after stroke - a multicenter prospective cohort study
Georgakis, Marios K.; Fang, Rong; Düring, Marco; Wollenweber, Frank Arne; Bode, Felix J.; Stösser, Sebastian; Kindlein, Christine; Hermann, Peter; Liman, Thomas; Nolte, Christian H.; Kerti, Lucia; Ikenberg, Benno; Bernkopf, Kathleen; Poppert, Holger; Glanz, Wenzel; Perosa, Valentina; Janowitz, Daniel; Wagner, Michael; Neumann, Katja; Speck, Oliver; Dobisch, Laura; Düzel, Emrah; Gesierich, Benno; Dewenter, Anna; Spottke, Annika E.; Waegemann, Karin; Görtler, Michael; Wunderlich, Silke; Endres, Matthias; Zerr, Inga; Petzold, Gabor; Dichgans, Martin
In: Alzheimer's and dementia - Hoboken, NJ : Wiley, Bd. 19 (2023), Heft 4, S. 1152-1163
Magnetic resonance imaging and velocimetry of ethane
Anikeeva, Maria; Sangal, Maitreyi; Pravdivtsev, Andrey N.; Pravdivtseva, Maryia S.; Peschke, Eva; Speck, Oliver; Hövener, Jan-Bernd
In: Journal of magnetic resonance open - Amsterdam : Elsevier, Bd. 16/17 (2023), Artikel 100137
MR based magnetic susceptibility measurements of 3D printing materials at 3 Tesla
Sangal, Maitreyi; Anikeeva, Mariia; Priese, Simon C.; Mattern, Hendrik; Hövener, Jan-Bernd; Speck, Oliver
In: SSRN eLibrary - [Erscheinungsort nicht ermittelbar] : Social Science Electronic Publ. . - 2023, insges. 17 S.
Study protocol - value of 7-T MRI with prospective motion correction and postprocessing for patients with nonlesional epilepsy - Studienprotokoll - Wert der 7-T-MRT mit prospektiver Bewegungskorrektur und Nachbearbeitung bei Patienten mit nichtläsionaler Epilepsie
Kukhlenko, Olga; Kukhlenko, Rostyslav; Tempelmann, Claus; Speck, Oliver; Hinrichs, Hermann; Heinze, Hans-Jochen; Heers, Marcel; House, Patrick M.; Wörmann, Friedrich Gerrit; Knake, Susanne; Urbach, Horst; Huppertz, Hans-Jürgen; Haghikia, Aiden; Schmitt, Friedhelm C.
In: Clinical epileptology - Berlin : Springer Medizin Verlag GmbH, Bd. 36 (2023), Heft 4, S. 320-326
Sinogram upsampling using Primal-Dual UNet for undersampled CT and radial MRI reconstruction
Ernst, Philipp; Chatterjee, Soumick; Rose, Georg; Speck, Oliver; Nürnberger, Andreas
In: Neural networks - Amsterdam : Elsevier, Bd. 166 (2023), S. 704-721
Counteraction of inflammatory activity in CAA-related subarachnoid hemorrhage
Schreiber, Stefanie; John, Anna-Charlotte; Werner, Cornelius Johannes; Vielhaber, Stefan; Heinze, Hans-Jochen; Speck, Oliver; Würfel, Jens Thomas; Behme, Daniel; Mattern, Hendrik
In: Journal of neurology - [Darmstadt] : Steinkopff, Bd. 270 (2023), Heft 2, S. 1159-1161
Association of the delayed changes in glutamate levels and functional connectivity with the immediate network effects of S-ketamine
Danyeli, Lena; Şen, Zümrüt Duygu; Colic, Lejla; Kurzweil, Lisa; Gensberger-Reigl, Sabrina; Macharadze, Tamar; Götting, Florian Nicolas; Refisch, Alexander; Liebe, Thomas; Chand, Tara; Kretzschmar, Moritz Andreas; Wagner, Gerd; Opel, Nils; Jollant, Fabrice; Speck, Oliver; Munk, Matthias Hans Joachim; Li, Meng; Walter, Martin
In: Translational Psychiatry - London : Nature Publishing Group, Bd. 13 (2023), Artikel 60, insges. 9 S.
Cognitive training, but not EEG-neurofeedback, improves working memory in healthy volunteers
Barbazzeni, Beatrice; Speck, Oliver; Düzel, Emrah
In: Brain communications - [Oxford] : Oxford University Press, Bd. 5 (2023), Heft 2, Artikel fcad101, insges. 17 S.
MICDIR - multi-scale inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent
Chatterjee, Soumick; Bajaj, Himanshi; Siddiquee, Istiyak H.; Subbarayappa, Nandish Bandi; Simon, Steve; Shashidhar, Suraj Bangalore; Speck, Oliver; Nürnberger, Andreas
In: Computerized medical imaging and graphics - Amsterdam [u.a.] : Elsevier Science, Bd. 108 (2023), Artikel 102267
Reduced dimension stimulus decoding and column-based modeling reveal architectural differences of primary somatosensory finger maps between younger and older adults
Kalyani, Avinash; Contier, Oliver; Klemm, Lisa; Azañon, Elena; Schreiber, Stefanie; Speck, Oliver; Reichert, Christoph; Kühn, Esther
In: NeuroImage - Orlando, Fla. : Academic Press, Bd. 283 (2023), Artikel 120430, insges. 13 S.
Towards an integrated radiofrequency safety concept for implant carriers in MRI based on sensor-equipped implants and parallel transmission
Petzold, Johannes; Schmitter, Sebastian; Silemek, Berk; Winter, Lukas; Speck, Oliver; Ittermann, Bernd; Seifert, Frank
In: NMR in biomedicine - New York, NY : Wiley, Bd. 36 (2023), Heft 7, Artikel e4900, insges. 20 S.
Dissertation
Improving thermal cancer treatment with 2D to 3D heat map reconstruction
Alpers, Julian; Hansen, Christian; Speck, Oliver
In: Magdeburg: Universitätsbibliothek, Dissertation Otto-von-Guericke-Universität Magdeburg, Fakultät für Informatik 2023, 1 Online-Ressource (xiv, 139 Seiten, 2,34 MB) [Literaturverzeichnis: Seite 125-136][Literaturverzeichnis: Seite 125-136]
Towards faster and more precise MR spectroscopy at 7 T
Riemann, Layla Tabea; Rose, Georg; Speck, Oliver
In: Magdeburg: Universitätsbibliothek, Dissertation Otto-von-Guericke-Universität Magdeburg, Fakultät für Elektro- und Informationstechnik 2023, 1 Online-Ressource (XII, 76, XIII-XXIII Seiten, 40,26 MB) [Literaturverzeichnis: Seite XIII-XXIII][Literaturverzeichnis: Seite XIII-XXIII]
Article in conference proceedings
Complex-valued fourier primal-dual - undersampled MRI reconstruction in hybrid-space
Chatterjee, Soumick; Ernst, Philipp; Speck, Oliver; Nürnberger, Andreas
In: Konferenz: ISMRM 2023, Toronto, Canada, June 2023, ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2023, insges. 3 S.
Enhancing vessel continuity in deep learning based segmentation using maximum intensity projection as loss
Chatterjee, Soumick; Chintalapati, Karthikesh Varma; Radhakrishna, Chethan; Hudukula Ram Kumar, Sri Chandana; Sutrave, Raviteja; Mattern, Hendrik; Speck, Oliver; Nürnberger, Andreas
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2023, insges. 4 S. [Konferenz: ISMRM 2023, Toronto, Canada, June 2023]
Exploiting the inter-rater disagreement to improve probabilistic segmentation
Chatterjee, Soumick; Schulz, Franziska; Sciarra, Alexandro; Mattern, Hendrik; Janiga, Gábor; Speck, Oliver; Nürnberger, Andreas; Pathiraja, Sahani
In: Konferenz: ISMRM 2023, Toronto, Canada, June 2023, ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2023, insges. 4 S.
Non-peer-reviewed journal article
Correction: Association of the delayed changes in glutamate levels and functional connectivity with the immediate network effects of S-ketamine
Danyeli, Lena; Şen, Zümrüt Duygu; Colic, Lejla; Kurzweil, Lisa; Gensberger-Reigl, Sabrina; Macharadze, Tamar; Götting, Florian Nicolas; Refisch, Alexander; Liebe, Thomas; Chand, Tara; Kretzschmar, Moritz Andreas; Wagner, Gerd; Opel, Nils; Jollant, Fabrice; Speck, Oliver; Munk, Matthias Hans Joachim; Li, Meng; Walter, Martin
In: Translational Psychiatry - London : Nature Publishing Group, Bd. 13 (2023), Artikel 73, insges. 1 S.
2022
Abstract
Resolution-dependency of arterial and venous density estimates and vessel distance maps in deep gray matter
Mattern, Hendrik; Speck, Oliver
In: London bound 2022 - International Society for Magnetic Resonance in Medicine, 2022 . - 2022
Intensity-based tracking technique to register devices in MRI-guided procedures
Fomin, Ivan; Kowal, Robert; Gutberlet, Marcel; Hensen, Bennet; Wacker, Frank; Speck, Oliver; Rose, Georg
In: 13th Interventional MRI Symposium - Leipzig, 2022 . - 2022, S. 51
Reduction of electromagnetic interferences of a commercially available MR approved microwave generator
Löning, Joaquin; Meyer-zu-Hartlage, Karen; Gerlach, Thomas; Speck, Oliver; Hensen, Bennet; Gutberlet, Marcel
In: 13th International Interventional MRI Symposium - Leipzig, 2022 . - 2022, S. 125
Magnetic resonance relaxometry and susceptibility of contemporary 3D printing materials
Anikeeva, M.; Sabgal, Maitreyi; Pravdivtseva, M. S.; Mattern, Hendrik; Speck, Oliver; Hövener, J.-B.
In: International Workshop on Reacting Particle-Gas Systems 2022 - Bochum, 2022 . - 2022
On the interactions between glymphatic system, neuroinflammation and cortical superficial siderosis - a case study
John, Anna-Charlotte; Schreiber, Stefanie; Werner, Cornelius Johannes; Vielhaber, Stefan; Heinze, Hans-Jochen; Speck, Oliver; Würfel, Jens Thomas; Behme, Daniel; Mattern, Hendrik
In: 8th International CAA Conference - International CAA Association, 2022 . - 2022
Metamaterial inspired surface resonators as wireless coil
Kowal, Robert; Knull, Lucas; Pannicke, Enrico; Hubmann, Max Joris; Fomin, Ivan; Gareis, Daniel; Scherbel, Selina; Hensen, Bennet; Rose, Georg; Wacker, Frank; Speck, Oliver
In: 13th International Interventional MRI Symposium - Leipzig . - 2022, S. 106 [Symposium: 13th Interventional MRI Symposium 2022, Leipzig, October 14-15, 2022]
Evolution of cortical superficial siderosis in a 75-year-old patient with cerebral amyloid angiopathy
John, Anna-Charlotte; Schreiber, Stefanie; Werner, Cornelius Johannes; Vielhaber, Stefan; Heinze, Hans-Jochen; Speck, Oliver; Würfel, Jens Thomas; Behme, Daniel; Mattern, Hendrik
In: 8th International CAA Conference - International CAA Association, 2022 . - 2022
Development of a low-cost B0 field mapping device
Eisenmann, Marcel; Fomin, Ivan; Prier, Marcus; Rose, Georg; Speck, Oliver
In: London bound 2022 - International Society for Magnetic Resonance in Medicine, 2022 . - 2022
Application of litz wires in MRI coil design up to 15 MHz
Kowal, Robert; Fomin, Ivan; Prier, Marcus; Pannicke, Enrico; Rose, Georg; Speck, Oliver
In: London bound 2022 - International Society for Magnetic Resonance in Medicine, 2022 . - 2022
Multi-channel receive coil for MRI-guided interventions
Kowal, Robert; Pannicke, Enrico; Gareis, Daniel; Scherbel, Selina; Knull, Lucas; Fomin, Ivan; Hubmann, Max Joris; Hensen, Bennet; Rose, Georg; Wacker, Frank; Speck, Oliver
In: 13th International Interventional MRI Symposium - Leipzig . - 2022, S. 107 [Symposium: 13th Interventional MRI Symposium 2022, Leipzig, October 14-15, 2022]
Entwicklung einer kortikalen superfiziellen Siderose bei einer 75-jährigen Patientin mit zerebraler Amyloidangiopathie
John, Anna-Charlotte; Schreiber, Stefanie; Werner, Cornelius Johannes; Vielhaber, Stefan; Heinze, Hans-Jochen; Speck, Oliver; Würfel, Jens Thomas; Behme, Daniel; Mattern, Hendrik
In: 57. Jahrestagung der Deutschen Gesellschaft für Neuroradiologie, Neurorad 2022 - Kassel, 2022 . - 2022
Vessel distance mapping - a novel methodology for assessing vascular-induced cognitive resilience
Garcia-Garcia, Berta; Mattern, Hendrik; Vockert, Niklas; Yakupov, Renat; Schreiber, Frank; Spallazzi, Marco; Perosa, Valentina; Speck, Oliver; Düzel, Emrah; Maass, Anne; Schreiber, Stefanie
In: Alzheimer's Association International Conference - Alzheimer's Association . - 2022, Artikel P2-206 [Konferenz: Alzheimer's Association International Conference,San Diego, California,31.07.-04.08.2022]
Book chapter
Prior-aided volume of interest CBCT image reconstruction for clinical interventional data
Punzet, Daniel; Frysch, Robert; Behme, Daniel; Pfeiffer, Tim; Speck, Oliver; Rose, Georg
In: Proceedings of SPIE - Bellingham, Wash. : SPIE, Bd. 12031 (2022), Artikel 1203127
High resolution structural brain imaging
Mattern, Hendrik; Lüsebrink-Rindsland, Jann Falk Silvester; Speck, Oliver
In: Motion Correction in MR - San Diego: Elsevier Science & Technology; Kouwe, Andre . - 2022
A real-time energy monitoring system for an MRI hybrid ablation system
Gerlach, Thomas; Shaik, Nashwa; Hubmann, Max Joris; Prier, Marcus; Pannicke, Enrico; Hensen, Bennet; Wacker, Frank; Speck, Oliver; Vick, Ralf
In: 44rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , 2022 - [Piscataway, NJ] : IEEE, S. 5016-5020
Peer-reviewed journal article
StRegA - unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder
Chatterjee, Soumick; Sciarra, Alessandro; Dünnwald, Max; Tummala, Pavan; Agrawal, Shubham Kumar; Jauhari, Aishwarya; Kalra, Aman; Oeltze-Jafra, Steffen; Speck, Oliver; Nürnberger, Andreas
In: Computers in biology and medicine - Amsterdam [u.a.] : Elsevier Science, Bd. 149 (2022), Artikel 106093
The impact of respiratory motion on electromagnetic fields and specific absorption rate in cardiac imaging at 7T
Schoen, Natalie; Seifert, Frank; Petzold, Johannes; Metzger, Gregory J.; Speck, Oliver; Rose, Georg; Ittermann, Bernd; Schmitter, Sebastian
In: Magnetic resonance in medicine - New York, NY [u.a.]: Wiley-Liss, Bd. 88 (2022), 6, S. 2645-2661
Amyloid pathology but not APOE [epsilon]4 status is permissive for tau-related hippocampal dysfunction
Düzel, Emrah; Ziegler, Gabriel; Berron, David; Maass, Anne; Schütze, Hartmut; Cardenas-Blanco, Arturo; Glanz, Wenzel; Metzger, Coraline Danielle; Dobisch, Laura; Reuter, Martin; Spottke, Annika E.; Brosseron, Frederic; Fliessbach, Klaus; Heneka, Michael Thomas; Laske, Christoph; Peters, Oliver Hubertus; Priller, Josef; Spruth, Eike Jakob; Ramírez, Alfredo; Speck, Oliver; Schneider, Anja; Teipel, Stefan; Kilimann, Ingo; Wiltfang, Jens; Schott, Björn H.; Preis, Lukas; Gref, Daria; Maier, Franziska; Munk, Matthias Hans Joachim; Roy, Nina; Ballarini, Tommaso; Yakupov, Renat; Haynes, John-Dylan; Dechent, Peter; Scheffler, Klaus; Wagner, Michael; Jessen, Frank
In: Brain - Oxford : Oxford Univ. Press, Bd. 145 (2022), Heft 4, S. 1473-1485
ReconResNet: Regularised residual learning for MR image reconstruction of undersampled cartesian and radial data
Chatterjee, Soumick; Breitkopf, Mario; Sarasaen, Chompunuch; Yassin, Hadya; Rose, Georg; Nürnberger, Andreas; Speck, Oliver
In: Computers in biology and medicine - Amsterdam [u.a.] : Elsevier Science, Bd. 143 (2022), Artikel 105321
Classification of brain tumours in MR images using deep spatiospatial models
Chatterjee, Soumick; Nizamani, Faraz Ahmed; Nürnberger, Andreas; Speck, Oliver
In: Scientific reports - [London] : Macmillan Publishers Limited, part of Springer Nature, Bd. 12 (2022), Artikel 1505, insges. 11 S.
Rapid geometry-corrected echo-planar diffusion imaging at ultrahigh field - fusing view angle tilting and point-spread function mapping
Tung, Yi-Hang; In, Myung-Ho; Ahn, Sinyeob; Speck, Oliver
In: Magnetic resonance in medicine - New York, NY [u.a.]: Wiley-Liss, Bd. 88 (2022), 5, S. 2074-2087
DS6, deformation-aware semi-supervised learning - application to small vessel segmentation with noisy training data
Chatterjee, Soumick; Prabhu, Kartik; Pattadkal, Mahantesh; Bortsova, Gerda; Sarasaen, Chompunuch; Dubost, Florian; Mattern, Hendrik; Bruijne, Marleen; Speck, Oliver; Nürnberger, Andreas
In: Journal of imaging - Basel : MDPI, Bd. 8 (2022), Heft 10, Artikel 259, insges. 22 S.
Pulsatility index in the basal ganglia arteries increases with age in elderly with and without cerebral small vessel disease
Perosa, Valentina; Arts, Tine; Assmann, Anne; Mattern, Hendrik; Speck, Oliver; Oltmer, Jan; Heinze, Hans-Jochen; Düzel, Emrah; Schreiber, Stefanie; Zwanenburg, Jaco J. M.
In: American journal of neuroradiology - Oak Brook, Ill. : Soc., Bd. 43 (2022), Heft 4, S. 540-546
Fourier-based decomposition for simultaneous 2-voxel MRS acquisition with 2SPECIAL
Riemann, Layla Tabea; Aigner, Christoph Stefan; Mekle, Ralf; Speck, Oliver; Rose, Georg; Ittermann, Bernd; Schmitter, Sebastian; Fillmer, Ariane
In: Magnetic resonance in medicine - New York, NY [u.a.]: Wiley-Liss, Bd. 88 (2022), 5, S. 1978-1993
TorchEsegeta - framework for interpretability and explainability of image-based deep learning models
Chatterjee, Soumick; Das, Arnab; Mandal, Chirag; Mukhopadhyay, Budhaditya; Vipinraj, Manish; Shukla, Aniruddh; Nagaraja Rao, Rajatha; Sarasaen, Chompunuch; Speck, Oliver; Nürnberger, Andreas
In: Applied Sciences - Basel : MDPI, Bd. 12 (2022), Heft 4, Artikel 1834, insges. 20 S.
Imaging of the pial arterial vasculature of the human brain in vivo using high-resolution 7T time-of-flight angiography
Bollmann, Saskia; Mattern, Hendrik; Bernier, Michael; Robinson, Simon D.; Park, Daniel; Speck, Oliver; Polimeni, Jonathan R.
In: eLife - Cambridge: eLife Sciences Publications, Bd. 11 (2022), insges. 35 S.
Quantitative evaluation of prospective motion correction in healthy subjects at 7T MRI
Sciarra, Alessandro; Mattern, Hendrik; Yakupov, Renat; Chatterjee, Soumick; Stucht, Daniel; Oeltze-Jafra, Steffen; Godenschweger, Frank; Speck, Oliver
In: Magnetic resonance in medicine - New York, NY [u.a.] : Wiley-Liss, Bd. 87 (2022), Heft 2, S. 646-657
The differential association between local neurotransmitter levels and whole-brain resting-state functional connectivity in two distinct cingulate cortex subregions
Li, Meng; Danyeli, Lena; Colic, Lejla; Wagner, Gerd; Smesny, Stefan; Chand, Tara; Di, Xin; Biswal, Bharat B.; Kaufmann, Jörn; Reichenbach, Jürgen; Speck, Oliver; Walter, Martin; Sen, Zümrüt Duygu
In: Human brain mapping - New York, NY : Wiley-Liss, Bd. 43 (2022), Heft 9, S. 2833-2844
Characterization of shear zones in soft granular beds by means of a novel magnetic resonance imaging technique
Wang, Jing; Farmani, Zohreh; Dijksman, Joshua A.; Lübeck, Cindy; Speck, Oliver; Stannarius, Ralf
In: Granular matter - Berlin: Springer, Bd. 24 (2022), insges. 13 S.
Dissertation
Reducing artefacts in MRI using Deep Learning - enhancing automatic image processing pipelines
Chatterjee, Soumick; Nürnberger, Andreas; Speck, Oliver
In: Magdeburg, Dissertation Otto-von-Guericke-Universität Magdeburg, Fakultät für Informatik 2022, xxv, 360 Seiten [Literaturverzeichnis: Seite 317-351][Literaturverzeichnis: Seite 317-351]
Article in conference proceedings
Uncertainty quantification for ground-truth free evaluation of deep learning reconstructions
Chatterjee, Soumick; Sciarra, Alessandro; Dünnwald, Max; Talagini Ashoka, Anitha Bhat; Cheepinahalli Vasudeva, Mayura Gurjar; Saravanan, Shudarsan; Sambandham, Venkatesh Thirugnana; Oeltze-Jafra, Steffen; Speck, Oliver; Nürnberger, Andreas
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2022, insges. 4 S. [Konferenz: ISMRM-ESMRMB 2022]
DDoS-UNet - incorporating temporal information using dynamic dual-channel UNet for enhancing super-resolution of dynamic MRI
Chatterjee, Soumick; Serasaen, Chompunuch; Rose, Georg; Speck, Oliver; Nürnberger, Andreas
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2022, insges. 4 S. [Konferenz: Medical Imaging with Deep Learning (MIDL), Zürich, 2022]
Automated SSIM regression for detection and quantification of motion artefacts in brain MR images
Sciarra, Alessandro; Chatterjee, Soumick; Dünnwald, Max; Placidi, Giuseppe; Nürnberger, Andreas; Speck, Oliver; Oeltze-Jafra, Steffen
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2022, insges. 10 S. [Konferenz: Medical Imaging with Deep Learning (MIDL), Zürich, 2022]
Motion-robust dynamic abdominal MRI using k-t GRASP and dynamic dual-channel training of super-resolution U-Net (DDoS-UNet)
Sarasaen, Chompunuch; Chatterjee, Soumick; Rose, Georg; Nürnberger, Andreas; Speck, Oliver
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2022, insges. 4 S. [Konferenz: ISMRM-ESMRMB 2022]
Multi-scale UNet with self-constructing graph latent for deformable image registration
Chatterjee, Soumick; Bajaj, Himanshi; Hossain Siddiquee, Mohammad Istiyak; Bandi Subbarayappa, Nandish; Simon, Steve; Shashidhar, Suraj; Speck, Oliver; Nürnberger, Andreas
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2022, insges. 4 S. [Konferenz: ISMRM-ESMRMB 2022]
Learning to segment brain tumours using an explainable classifier
Chatterjee, Soumick; Yassin, Hadya; Dubost, Florian; Nürnberger, Andreas; Speck, Oliver
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2022, insges. 4 S. [Konferenz: ISMRM-ESMRMB 2022]
StRegA - unsupervised anomaly detection in brain MRIs using compact context-encoding variational autoencoder
Chatterjee, Soumick; Sciarra, Alessandro; Dünnwald, Max; Tummala, Pavan; Agrawal, Shubham; Jauhari, Aishwarya; Kalra, Aman; Oeltze-Jafra, Steffen; Speck, Oliver; Nürnberger, Andreas
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2022, insges. 4 S. [Konferenz: ISMRM-ESMRMB 2022]
Reference-less SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MRIs
Sciarra, Alessandro; Chatterjee, Soumick; Dünnwald, Max; Placidi, Giuseppe; Nürnberger, Andreas; Speck, Oliver; Oeltze-Jafra, Steffen
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2022, insges. 4 S. [Konferenz: Medical Imaging with Deep Learning (MIDL), Zürich, 2022]
Non-peer-reviewed journal article
MICDIR - multi-scale Inverse-consistent deformable image registration using UNetMSS with self-constructing graph latent
Chatterjee, Soumick; Bajaj, Himanshi; Siddiquee, Istiyak H.; Subbarayappa, Nandish Bandi; Simon, Steve; Shashidhar, Suraj Bangalore; Speck, Oliver; Nürnberger, Andreas
In: De.arxiv.org - [S.l.] : Arxiv.org . - 2022, Artikel 2203.04317, insges. 19 S.
DDoS-UNet - incorporating temporal information using dynamic dual-channel UNet for enhancing super-resolution of dynamic MRI
Chatterjee, Soumick; Sarasaen, Chompunuch; Rose, Georg; Nürnberger, Andreas; Speck, Oliver
In: De.arxiv.org - [S.l.] : Arxiv.org . - 2022, Artikel 2202.05355, insges. 12 S.
StRegA - unsupervised anomaly detection in brain MRIs using a compact context-encoding variational autoencoder
Chatterjee, Soumick; Sciarra, Alessandro; Dünnwald, Max; Tummala, Pavan; Agrawal, Shubham Kumar; Jauhari, Aishwarya; Kalra, Aman; Oeltze-Jafra, Steffen; Speck, Oliver; Nürnberger, Andreas
In: De.arxiv.org - [S.l.] : Arxiv.org . - 2022, Artikel 2201.13271, insges. 13 S.
Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classification
Chatterjee, Soumick; Yassin, Hadya; Dubost, Florian; Speck, Oliver; Nürnberger, Andreas
In: De.arxiv.org - [S.l.] : Arxiv.org . - 2022, Artikel 2206.05148, insges. 14 S.
Liver segmentation using turbolift learning for CT and cone-beam C-arm perfusion imaging
Haseljić, Hana; Chatterjee, Soumick; Frysch, Robert; Kulvait, Vojtěch; Semshchikov, Vladimir; Hensen, Bennet; Wacker, Frank; Brüsch, Inga; Werncke, Thomas; Speck, Oliver; Nürnberger, Andreas; Rose, Georg
In: Arxiv - Ithaca, NY : Cornell University . - 2022, Artikel 2207.10167, insges. 16 S.
Automated SSIM regression for detection and quantification of motion artefacts in brain MR images
Sciarra, Alessandro; Chatterjee, Soumick; Dünnwald, Max; Placidi, Giuseppe; Nürnberger, Andreas; Speck, Oliver; Oeltze-Jafra, Steffen
In: De.arxiv.org - [S.l.] : Arxiv.org . - 2022, Artikel 2206.06725, insges. 9 S.
2021
Abstract
Electromagnetic simulations of different electrode shapes for an MRI hybrid ablation system
Mitra, Mishuk; Gerlach, Thomas; Kowal, Robert; Pannicke, Enrico; Hensen, Bennet; Wacker, Frank; Speck, Oliver; Vick, Ralf
In: 5th Conference on Image-Guided Interventions (IGIC)/ Conference on Image-Guided Interventions - Magdeburg: [Otto-von-Guericke University Magdeburg], 2021; Hansen, Christian *1980-* . - 2021, S. 59-60
Robustness evaluation of grangeat registration for prior-based reconstruction
Punzet, Daniel; Frysch, Robert; Behme, Daniel; Speck, Oliver; Rose, Georg
In: Konferenz: 5th Conference on Image-Guided Interventions, IGIC 2021, Magdeburg, 13-14 October 2021, 5th Conference on Image-Guided Interventions (IGIC) , 2021 - Magdeburg : [Otto-von-Guericke University Magdeburg] ; Hansen, Christian *1980-*, S. 7
Towards an energy monitoring system for an MRI hybrid RF ablation system
Shaik, Nashwa; Gerlach, Thomas; Hubmann, Joris; Pannicke, Enrico; Prier, Marcus; Hensen, Bennet; Wacker, Frank; Speck, Oliver; Vick, Ralf
In: Konferenz: 5th Conference on Image-Guided Interventions, IGIC 2021, Magdeburg, 13-14 October 2021, 5th Conference on Image-Guided Interventions (IGIC) , 2021 - Magdeburg : [Otto-von-Guericke University Magdeburg] ; Hansen, Christian *1980-*, S. 77-78
High resolution time-of-flight angiography of the pial arterial vasculature of the human brain in vivo
Bollmann, S.; Mattern, Hendrik; Bernier, M.; Robinson, S. R.; Park, D.; Speck, Oliver; Polimeni, J. R.
In: 12th Scientific Symposium on Clinical Needs, Research Promises and Technical Solutions - Berlin, 2021 . - 2021
Extraction of prior knowledge basis function set for model-based perfusion reconstruction of the liver
Haseljić, Hana; Kulvait, Vojtech; Frysch, Robert; Wernecke, Thomas; Hensen, Bennet; Brüsch, Inga; Magdowski, Mathias; Wacker, Frank; Speck, Oliver; Rose, Georg
In: Konferenz: 5th Conference on Image-Guided Interventions, IGIC 2021, Magdeburg, 13-14 October 2021, 5th Conference on Image-Guided Interventions (IGIC) , 2021 - Magdeburg : [Otto-von-Guericke University Magdeburg] ; Hansen, Christian *1980-*, S. 11-12
Vaskuläre Ursachen kognitiver Defizite bei Patienten mit zerebraler Mikroangiopathie
Neumann, K.; Aruci, M.; Aki, C.; Günther, M.; Mistelbauer, G.; Garcia-Garcia, Berta; Oeltze-Jafra, Steffen; Stucht, Daniel; Mattern, Hendrik; Speck, Oliver; Perosa, Valentina; Düzel, Emrah; Schreiber, Stefanie
In: Research Days 2021 - Magdeburg, 2021 . - 2021
Flexible split-coil design for various field strengths
Kowal, Robert; Pannicke, Enrico; Prier, Marcus; Ehses, Mai; Rose, Georg; Speck, Oliver
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg: Springer, 1993, Volume 34(2021), Suppl. 1, Seite S37
Vessel distance mapping for deep gray matter structures
Mattern, Hendrik; Schreiber, Stefanie; Speck, Oliver
In: ISMRM & SMRT Annual Meeting and Exhibition - Concord, CA: International Society for Magnetic Resonance in Medicine, 2021 . - 2021
DdoS - dynamic dual-channel U-Net for improving deep learning based super-resolution of abdominal dynamic MRI
Sarasaen, Chompunuch; Chatterjee, Soumick; Nürnberger, Andreas; Speck, Oliver
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg : Springer, Bd. 34 (2021), Heft Suppl. 1, S. S44, Artikel S6.O3 [Meeting: 38th Annual Scientific Meeting, ESMRMB 2021, Online, 7-9 October 2021]
Stand-alone hardware SAR monitor based on low cost electronic standard components
Prier, Marcus; Hubmann, Max Joris; Pannicke, Enrico; Speck, Oliver
In: ISMRM & SMRT Annual Meeting and Exhibition$an online experience : 15-20 May 2021 - Concord, CA: International Society for Magnetic Resonance in Medicine, 2021 . - 2021
An Ex-Vivo study of an MRI hybrid ablation system
Gerlach, Thomas; Pannicke, Enrico; Hensen, Bennet; Wacker, Frank; Speck, Oliver; Vick, Ralf
In: 5th Conference on Image-Guided Interventions (IGIC)/ Conference on Image-Guided Interventions - Magdeburg: [Otto-von-Guericke University Magdeburg], 2021; Hansen, Christian *1980-* . - 2021, S. 55; 4950
Educational tabletop MRI system using the open-source console for real-time acquisition (OCRA)
Prier, Marcus; Schote, David; Fomin, Ivan; Witzel, Thomas; Rose, Georg; Speck, Oliver
In: ISMRM & SMRT Annual Meeting and Exhibition$an online experience : 15-20 May 2021 - Concord, CA: International Society for Magnetic Resonance in Medicine, 2021 . - 2021
Feasibility study of MRI-guided IRE
Hubmann, Max Joris; Gerlach, Thomas; Pannicke, Enrico; Hensen, Bennet; Wacker, Frank; Speck, Oliver; Vick, Ralf
In: 5th Conference on Image-Guided Interventions (IGIC)/ Conference on Image-Guided Interventions - Magdeburg: [Otto-von-Guericke University Magdeburg], 2021; Hansen, Christian *1980-* . - 2021, S. 21-22
Comparison of SNR between a low-field (0.26T) Tabletop-MRI and a clinical high-field (3T) scanner
Kowal, Robert; Pannicke, Enrico; Prier, Marcus; Vick, Ralf; Rose, Georg; Speck, Oliver
In: ISMRM & SMRT Annual Meeting and Exhibition$an online experience : 15-20 May 2021 - Concord, CA: International Society for Magnetic Resonance in Medicine, 2021 . - 2021
Proton resonance frequency-based 3D magnetic resonance thermometry using a stack of stars sequence for monitoring of hepatic microwave ablation
Meyer zu Hartlage, Karen; Hensen, Bennet; Gerlach, Thomas; Pannicke, Enrico; Speck, Oliver; Gutberlet, Marcel; Wacker, Frank
In: 5th Conference on Image-Guided Interventions (IGIC)/ Conference on Image-Guided Interventions - Magdeburg: [Otto-von-Guericke University Magdeburg], 2021; Hansen, Christian *1980-* . - 2021, S. 19-20
Disposable receive coils for MR-guided interventions
Kowal, Robert; Sánchez López, Juan Sebastián; Pannicke, Enrico; Ehses, Maik; Moritz, Julia; Scherbel, Selina; Hensen, Bennet; Becker, Mathias; Fischbach, Frank; Pech, Maciej; Wacker, Frank; Rose, Georg; Speck, Oliver
In: 5th Conference on Image-Guided Interventions (IGIC)/ Conference on Image-Guided Interventions - Magdeburg: [Otto-von-Guericke University Magdeburg], 2021; Hansen, Christian *1980-* . - 2021, S. 25-26
Virtual reality-based usability laboratory for interventional MR applications
Kwapik, Remigiusz; Moritz, Julia; Hensen, Bennet; Janny, Benedikt; Pannicke, Enrico; Schott, Danny; Rose, Georg; Speck, Oliver; Wacke, Frank
In: 5th Conference on Image-Guided Interventions (IGIC) , 2021 - Magdeburg : [Otto-von-Guericke University Magdeburg] ; Hansen, Christian *1980-*, S. 51-52 [Konferenz: 5th Conference on Image-Guided Interventions, IGIC 2021, Magdeburg, 13-14 October 2021]
Offcenter MRI-thermometry
Seibt, Janis; Pannicke, Enrico; Speck, Oliver
In: 5th Conference on Image-Guided Interventions (IGIC)/ Conference on Image-Guided Interventions - Magdeburg: [Otto-von-Guericke University Magdeburg], 2021; Hansen, Christian *1980-* . - 2021, S. 15-16
MRI safety evaluation of flexible coil
Ehses, Maik; Pannicke, Enrico; Sánchez López, Juan Sebastián; Scherbel, Selina; Kowal, Robert; Hensen, Bennet; Wacker, Frank; Rose, Georg; Speck, Oliver
In: 5th Conference on Image-Guided Interventions (IGIC)/ Conference on Image-Guided Interventions - Magdeburg: [Otto-von-Guericke University Magdeburg], 2021; Hansen, Christian *1980-* . - 2021, S. 79-80
Combining receive coils with microposition robotics for MRI guided interventions
Fomin, Ivan; Kowal, Robert; Pannicke, Enrico; Hensen, Bennet; Wacker, Frank; Speck, Oliver; Rose, Georg
In: 5th Conference on Image-Guided Interventions (IGIC)/ Conference on Image-Guided Interventions - Magdeburg: [Otto-von-Guericke University Magdeburg], 2021; Hansen, Christian *1980-* . - 2021, S. 27-28
Book chapter
ShuffleUNet - super resolution of diffusion-weighted MRIs using deep learning
Chatterjee, Soumick; Sciarra, Alessandro; Dünnwald, Max; Mushunuri, Raghava Vinaykanth; Podishetti, Ranadheer; Rao, Rajatha Nagaraja; Gopinath, Geetha Doddapaneni; Oeltze-Jafra, Steffen; Speck, Oliver; Nürnberger, Andreas
In: 29th European Signal Processing Conference (EUSIPCO 2021) , 2021 - [Piscataway, NJ] : IEEE [Konferenz: 29th European Signal Processing Conference, EUSIPCO, Dublin, Ireland, 23-27 August 2021]
Design of a system for magnetic-resonance-guided irreversible electroporation
Hubmann, Joris; Gerlach, Thomas; Pannicke, Enrico; Hensen, Bennet; Wacker, Frank; Speck, Oliver; Vick, Ralf
In: 43rd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC) - [Piscataway, NJ]: IEEE . - 2021, S. 1461-1465
Distributed capacitors for MR-receive-coils - theory and method
Pannicke, Enrico; Speck, Oliver; Vick, Ralf
In: 43rd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC) - [Piscataway, NJ]: IEEE . - 2021, S. 1516-1521, 2020
Upgraded W-Net with attention gates and its application in unsupervised 3D liver segmentation
Mitta, Dhanunjaya; Chatterjee, Soumick; Speck, Oliver; Nürnberger, Andreas
In: Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods. Volume 1 - [Setúbal] : SCITEPRESS - Science and Technology Publications, Lda. ; Marsico, Maria . - 2021, S. 488-494 [Konferenz: 10th International Conference on Pattern Recognition Applications and Methods, ICPRAM, Online, February 4-6, 2021]
Simulation of SAR induced heating in infants undergoing 1.5 T magnetic resonance imaging
Kowal, Robert; Prier, Marcus; Pannicke, Enrico; Vick, Ralf; Rose, Georg; Speck, Oliver
In: 43rd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC) - [Piscataway, NJ]: IEEE . - 2021, S. 3380-3384
Analytical model of a split-coil for implementation of novel type of receive coil in magnetic resonance imaging
Pannicke, Enrico; Speck, Oliver; Vick, Ralf
In: 43rd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC) - [Piscataway, NJ]: IEEE . - 2021, S. 1522-1526
3D-Printed floating cable traps for MRI guided microwave ablation
Ehses, Maik; Meyer zu Hartlage, Karen; Gerlach, Thomas; Löning Caballero, J. Joaquin; Reimert, Daniel; Pannicke, Enrico; Gutberlet, Marcel; Wacker, Frank; Speck, Oliver; Hensen, Bennet; Vick, Ralf
In: 43rd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC) - [Piscataway, NJ]: IEEE . - 2021, S. 1423-1426
Peer-reviewed journal article
Studying Alzheimer disease, Parkinson disease, and amyotrophic lateral sclerosis with 7-T magnetic resonance
Düzel, Emrah; Costagli, Mauro; Donatelli, Graziella; Speck, Oliver; Cosottini, Mirco
In: 2021
The traveling heads 2.0 - multicenter reproducibility of quantitative imaging methods at 7 tesla
Voelker, Maximilian N.; Kraff, Oliver; Görke, Steffen; Laun, Frederik B.; Hanspach, Jannis; Pine, Kerrin J.; Ehses, Philipp; Zaiss, Moritz; Liebert, Andrzej; Straub, Sina; Eckstein, Korbinian; Robinson, Simon; Nagel, Armin N.; Stefanescu, Maria R.; Wollrab, Astrid; Klix, Sabrina; Felder, Jörg; Hock, Michael; Bosch, Dario; Weiskopf, Nikolaus; Speck, Oliver; Ladd, Mark E.; Quick, Harald H.
In: NeuroImage - Orlando, Fla.: Academic Press, Bd. 232 (2021), S. 1-14, insges. 14 S.
Publisher correction: Dissociable roles of cortical excitation-inhibition balance during patch-leaving versus value-guided decisions
Kaiser, Luca F.; Gruendler, Theo O. J.; Speck, Oliver; Luettgau, Lennart; Jocham, Gerhard
In: Nature Communications - [London]: Nature Publishing Group UK, Bd. 12 (2021), insges. 2 S.
Chemical shift-based prospective kspace anonymization
Mattern, Hendrik; Knoll, Martin; Lüsebrink-Rindsland, Jann Falk Silvester; Speck, Oliver
In: Magnetic resonance in medicine - New York, NY [u.a.]: Wiley-Liss, 1984, Bd. 85 (2021), 2, S. 962-969
Dissociable roles of cortical excitation-inhibition balance during patch-leaving versus value-guided decisions
Kaiser, Luca F.; Gruendler, Theo O. J.; Speck, Oliver; Luettgau, Lennart; Jocham, Gerhard
In: Nature Communications - [London]: Nature Publishing Group UK, Bd. 12 (2021), insges. 11 S.
Assessment of measurement precision in single-voxel spectroscopy at 7 T - toward minimal detectable changes of metabolite concentrations in the human brain in vivo
Riemann, Layla Tabea; Aigner, Christoph Stefan; Ellison, Stephen L. R.; Brühl, Rüdiger; Mekle, Ralf; Schmitter, Sebastian; Speck, Oliver; Rose, Georg; Ittermann, Bernd; Fillmer, Ariane
In: Magnetic resonance in medicine - New York, NY [u.a.] : Wiley-Liss, Bd. 87 (2022), Heft 3, S. 1119-1135
Hemodynamic data assimilation in a subject-specific circle of Willis geometry
Gaidzik, Franziska; Pathiraja, Sahani; Saalfeld, Sylvia; Stucht, Daniel; Speck, Oliver; Thévenin, Dominique; Janiga, Gábor
In: Clinical neuroradiology - München : Urban & Vogel, Bd. 31 (2021), Heft 3, S. 643-651
Rapid safety assessment and mitigation of radiofrequency induced implant heating using small root mean square sensors and the sensor matrix Q s
Silemek, Berk; Seifert, Frank; Petzold, Johannes; Hoffmann, Werner; Pfeiffer, Harald; Speck, Oliver; Rose, Georg; Ittermann, Bernd; Winter, Lukas
In: Magnetic resonance in medicine - New York, NY [u.a.] : Wiley-Liss, Bd. 87 (2021), Heft 1, S. 509-527
Detection of cerebral microbleeds with venous connection at 7-Tesla MRI
Rotta, Johanna; Perosa, Valentina; Yakupov, Renat; Kuijf, Hugo J.; Schreiber, Frank; Dobisch, Laura; Oltmer, Jan; Assmann, Anne; Speck, Oliver; Heinze, Hans-Jochen; Acosta-Cabronero, Julio; Düzel, Emrah; Schreiber, Stefanie
In: Neurology - Philadelphia, Pa. : Wolters Kluwer, Bd. 96 (2021), Heft 16, S. e2048-e2057
Comprehensive ultrahigh resolution whole brain in vivo MRI dataset as a human phantom
Lüsebrink-Rindsland, Jann Falk Silvester; Mattern, Hendrik; Yakupov, Renat; Acosta-Cabronero, Julio; Ashtarayeh, Mohammad; Oeltze-Jafra, Steffen; Speck, Oliver
In: Scientific data - London : Nature Publ. Group, Bd. 8 (2021), Artikel 138, insges. 13 S.
The BDNFVal66Met SNP modulates the association between beta-amyloid and hippocampal disconnection in Alzheimer’s disease
Franzmeier, Nicolai; Ren, Jinyi; Damm, Alexander; Monté-Rubio, Gemma; Boada, Mercè; Ruiz, Agustín; Ramírez, Alfredo; Jessen, Frank; Düzel, Emrah; Rodríguez Gómez, Octavio; Benzinger, Tammie; Goate, Alison; Karch, Celeste M.; Fagan, Anne M.; McDade, Eric; Buerger, Katharina; Levin, Johannes; Duering, Marco; Dichgans, Martin; Suárez-Calvet, Marc; Haass, Christian; Gordon, Brian A.; Lim, Yen Ying; Masters, Colin L.; Janowitz, Daniel; Catak, Cihan; Wolfsgruber, Steffen; Wagner, Michael; Milz, Esther; Moreno-Grau, Sonia; Teipel, Stefan; Grothe, Michel J.; Kilimann, Ingo; Rossor, Martin; Fox, Nick; Laske, Christoph; Chhatwal, Jasmeer; Falkai, Peter; Perneczky, Robert; Lee, Jae-Hong; Spottke, Annika; Boecker, Henning; Brosseron, Frederic; Fliessbach, Klaus; Heneka, Michael Thomas; Nestor, Peter; Peters, Oliver Hubertus; Fuentes, Manuel; Menne, Felix; Priller, Josef; Spruth, Eike J.; Franke, Christiana; Schneider, Anja; Westerteicher, Christine; Speck, Oliver; Wiltfang, Jens; Bartels, Claudia; Araque Caballero, Miguel Ángel; Metzger, Coraline Danielle; Bittner, Daniel Markus; Salloway, Stephen; Danek, Adrian; Hassenstab, Jason; Yakushev, Igor; Schofield, Peter R.; Morris, John C.; Bateman, Randall J.; Ewers, Michael
In: Molecular psychiatry - [London] : Springer Nature, Bd. 26 (2021), Heft 2, S. 614-628
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
Kavur, A. Emre; Gezer, N. Sinem; Barış, Mustafa; Aslan, Sinem; Conze, Pierre-Henri; Groza, Vladimir; Pham, Duc Duy; Chatterjee, Soumick; Ernst, Philipp; Özkan, Savaş; Baydar, Bora; Lachinov, Dmitry; Han, Shuo; Pauli, Josef; Isensee, Fabian; Perkonigg, Matthias; Sathish, Rachana; Rajan, Ronnie; Sheet, Debdoot; Dovletov, Gurbandurdy; Speck, Oliver; Nürnberger, Andreas; Maier-Hein, Klaus H.; Bozdağı Akar, Gözde; Ünal, Gözde; Dicle, Oğuz; Selver, M. Alper
In: Medical image analysis - Amsterdam [u.a.] : Elsevier Science - Volume 69(2021), article 101950
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
Sarasaen, Chompunuch; Chatterjee, Soumick; Breitkopf, Mario; Rose, Georg; Nürnberger, Andreas; Speck, Oliver
In: Artificial intelligence in medicine - Amsterdam [u.a.] : Elsevier Science, Bd. 121 (2021), Artikel 102196
Studying Alzheimer disease, Parkinson disease, and amyotrophic lateral sclerosis with 7-T magnetic resonance
Düzel, Emrah; Costagli, Mauro; Donatelli, Graziella; Speck, Oliver; Cosottini, Mirco
In: European radiology experimental - [Cham] : Springer International Publishing, Bd. 5 (2021), Artikel 36, insges. 17 S.
Perceived and mentally rotated contents are differentially represented in cortical depth of V1
Iamshchinina, Polina; Kaiser, Daniel; Yakupov, Renat; Haenelt, Daniel; Sciarra, Alessandro; Mattern, Hendrik; Lüsebrink-Rindsland, Jann Falk Silvester; Düzel, Emrah; Speck, Oliver; Weiskopf, Nikolaus; Cichy, Radoslaw Martin
In: Communications biology - London: Springer Nature, 2018, Bd. 4 (2021), insges. 8 S.
Dissertation
Data-driven beam hardening correction for cone beam computed tomography
Abdurahman, Shiras; Rose, Georg; Speck, Oliver
In: Magdeburg: Universitätsbibliothek, 2021, 1 Online-Ressource (xvii, 125 Seiten, 14,04 MB), Illustrationen
Empfangsspulen für bildgeführte Eingriffe mittels Magnetresonanztomographie
Pannicke, Enrico; Vick, Ralf; Speck, Oliver
In: Magdeburg: Universitätsbibliothek, Dissertation Otto-von-Guericke-Universität Magdeburg, Fakultät für Elektrotechnik und Informationstechnik 2021, 1 Online-Ressource (ii, 208 Seiten, 115,86 MB) - (Res electricae Magdeburgenses; Band 85) [Literaturverzeichnis: Seite 187-197][Literaturverzeichnis: Seite 187-197]
Article in conference proceedings
A comparative study of deep learning based deformable image registration techniques
Chatterjee, Soumick; Bajaj, Himanshi; Shashidhar, Suraj; Busnur Indushekar, Sanjeeth; Simon, Steve; Siddiquee, Istiyak; Nandish, B. S.; Speck, Oliver; Nürnberger, Andreas
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2021 [Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition]
Prior-aided volume of interest CBCT image reconstruction
Punzet, Daniel; Frysch, Robert; Speck, Oliver; Rose, Georg
In: Proceedings of the 16th Virtual International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine$xhEditors: Georg Schramm, Ahmadreza Rezaei, Kris Thielemans and Johan Nuyts - arXiv ; Schramm, Georg . - 2021, S. 76-80
Going beyond the image space - undersampled MRI reconstruction directly in the k-space using a complex valued residual neural network
Chatterjee, Soumick; Sarasaen, Chompunuch; Sciarra, Alessandro; Breitkopf, Mario; Oeltze-Jafra, Steffen; Nürnberger, Andreas; Speck, Oliver
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2021 [Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition]
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
Sarasaen, Chompunuch; Chatterjee, Soumick; Saad, Fatima; Breitkopf, Mario; Nürnberger, Andreas; Speck, Oliver
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2021 [Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition]
Unsupervised reconstruction based anomaly detection using a Variational Auto Encoder
Chatterjee, Soumick; Sciarra, Alessandro; Dünnwald, Max; Agrawal, Shubham; Tummala, Pavan; Setlur, Disha Kishore; Kalra, Aman; Jauhari, Aishwarya; Oeltze-Jafra, Steffen; Speck, Oliver; Nürnberger, Andreas
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2021 [Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition]
ReconResNet: regularised residual learning for MR image reconstruction of undersampled cartesian and radial data
Chatterjee, Soumick; Breitkopf, Mario; Sarasaen, Chompunuch; Yassin, Hadya; Rose, Georg; Nürnberger, Andreas; Speck, Oliver
In: Medical Imaging with Deep Learning - OpenReview.net . - 2021, insges. 3 S. [Konferenz: Medical Imaging with Deep Learning, MIDL 2021, Lübeck, Germany, 7. Juli 2021]
Resolving to super resolution multi-dimensional diffusion imaging (Super-MUDI)
Nath, Vishwesh; Pizzolato, Marco; Palombo, Marco; Gyori, Noemi; Schilling, Kurt; Hansen, Colin; Yang, Qi; Kanakaraj, Praitayini; Landman, Bennett; Chatterjee, Soumick; Sciarra, Alessandro; Dünnwald, Max; Oeltze-Jafra, Steffen; Nürnberger, Andreas; Speck, Oliver; Pieciak, Tomasz; Baranek, Marcin; Bartocha, Kamil; Ciupek, Dominika; Bogusz, Fabian; Hamidinekoo, Azam; Afzali, Maryam; Lin, Harry; Alexander, Danny C.; Lan, Haoyu; Sepehrband, Farshid; Liang, Zifei; Wu, Tung-Yeh; Su, Ching-Wei; Wu, Qian-Hua; Liu, Zi-You; Chao, Yi-Ping; Albay, Enes; Unal, Gozde; Pylypenko, Dmytro; Ye, Xinyu; Zhang, Fan; Hutter, Jana
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2021 [Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition]
DS6, deformation-aware semi-supervised learning - application to small vessel segmentation with noisy training data
Chatterjee, Soumick; Prabhu, Kartik; Pattadkal, Mahantesh; Bortsova, Gerda; Sarasaen, Chompunuch; Dubost, Florian; Mattern, Hendrik; Bruijne, Marleen de; Speck, Oliver; Nürnberger, Andreas
In: Medical Imaging with Deep Learning - OpenReview.net . - 2021, insges. 3 S. [Konferenz: Medical Imaging with Deep Learning, MIDL 2021, Lübeck, Germany, 7. Juli 2021]
Interpretability techniques for deep learning based segmentation models
Chatterjee, Soumick; Das, Arnab; Mandal, Chirag; Mukhopadhyay, Budhaditya; Vipinraj Bhandari, Manish Bhandari; Shukla, Aniruddh; Speck, Oliver; Nürnberger, Andreas
In: ResearchGATE - Cambridge, Mass. : ResearchGATE Corp. . - 2021 [Kongress: 2021 ISMRM & SMRT Annual Meeting & Exhibition]
Non-peer-reviewed journal article
ShuffleUNet: super resolution of diffusion-weighted MRIs using deep learning
Chatterjee, Soumick; Sciarra, Alessandro; Dünnwald, Max; Mushunuri, Raghava Vinaykanth; Podishetti, Ranadheer; Rao, Rajatha Nagaraja; Gopinath, Geetha Doddapaneni; Oeltze-Jafra, Steffen; Speck, Oliver; Nürnberger, Andreas
In: De.arxiv.org - [S.l.] : Arxiv.org . - 2021, S. 1-5, Artikel 2102.12898
TorchEsegeta - framework for interpretability and explainability of image-based deep learning models
Chatterjee, Soumick; Das, Arnab; Mandal, Chirag; Mukhopadhyay, Budhaditya; Vipinraj, Manish; Shukla, Aniruddh; Rao, Rajatha Nagaraja; Sarasaen, Chompunuch; Speck, Oliver; Nürnberger, Andreas
In: De.arxiv.org - [S.l.] : Arxiv.org . - 2021, Artikel 2110.08429, insges. 15 S.
ReconResNet: regularised residual learning for MR image reconstruction of undersampled cartesian and radial data
Chatterjee, Soumick; Breitkopf, Mario; Sarasaen, Chompunuch; Yassin, Hadya; Podishetti, Ranadheer; Rose, Georg; Nürnberger, Andreas; Speck, Oliver
In: De.arxiv.org - [S.l.] : Arxiv.org . - 2021, S. 1-15, Artikel 2103.09203
Classification of brain tumours in MR images using deep spatiospatial models
Chatterjee, Soumick; Nizamani, Faraz Ahmed; Nürnberger, Andreas; Speck, Oliver
In: De.arxiv.org - [S.l.] : Arxiv.org . - 2021, Artikel 2105.14071, insges. 12 S.
Sinogram upsampling using primal-dual UNet for undersampled CT and radial MRI reconstruction
Ernst, Philipp; Chatterjee, Soumick; Rose, Georg; Speck, Oliver; Nürnberger, Andreas
In: De.arxiv.org - [S.l.] : Arxiv.org . - 2021, Artikel 2112.13443, insges. 20 S.
2020
Abstract
Classification of motion corrupted brain MR images using deep learning techniques
Sciarra, Alessandro; Dünnwald, Max; Chatterjee, Soumick; Speck, Oliver; Oeltze-Jafra, Steffen
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg : Springer, Bd. 33 (2020), S. S33, Artikel S03.09 [Kongress: ESMRMB 2020 Online Convergence Science & Education, September 30 - October 2, 2020]
Epipolar-constrained optical flow triangulation for the interior problem in CBCT
Punzet, Daniel; Frysch, Robert; Khosroshahi, Elnaz; Beuing, Oliver; Speck, Oliver; Rose, Georg
In: Online-programm - IEEE, 2020, 2020, Poster panel: 179
Super-resolution with conditional-GAN for MR brain images
Sciarra, Alessandro; Dünnwald, Max; Mattern, Hendrik; Speck, Oliver; Oeltze-Jafra, Steffen
In: ISMRM 28th annual ISMRM virtual conference & exhibition, 08. - 14. August 2020 / ISMRM Annual Meeting & Exhibition , 2020 - 2020, Poster 3540 [ISMRM 28th annual ISMRM virtual conference & exhibition, virtual, 08. - 14. August 2020]
Hippocampal volumetric variability is associated with memory in subjective cognitive decline
Ziegler, Gabriel; Heinzinger, Nils; Metzger, Coraline Danielle; Yakupov, Renat; Bittner, Daniel Markus; Glanz, Wenzel; Spottke, Annika; Brosseron, Frederic; Bürger, Katharina; Fließbach, Klaus; Heneka, Michael Thomas; Laske, Christoph; Nestor, Peter J.; Peters, Oliver Hubertus; Priller, Josef; Ramírez, Alfredo; Schneider, Anja; Speck, Oliver; Teipel, Stefan; Wiltfang, Jens; Wagner, Michael; Düzel, Emrah; Jessen, Frank
In: Alzheimer's and dementia - Hoboken, NJ: Wiley, 2005, Vol. 16.2020, Suppl. 5, e043527, 3 Seiten
Vessel distance mapping
Mattern, Hendrik; Speck, Oliver
In: Magnetic resonance materials in physics, biology and medicine: (MAGMA) ; the official journal of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) - Heidelberg: Springer, 1993, Volume 33(2020), Suppl. 1, Seite S195[Meeting: ESMRMB 2020 online, September 30 - October 2, 2020]
Remotely controllable phantom rotation device for cross-calibration at 7T
Mattern, Hendrik; Odenbach, Robert; Thoma, Niklas; Godenschweger, Frank; Speck, Oliver
In: ISMRM 28th annual ISMRM virtual conference & exhibition, 08. - 14. August 2020: SMRT 29th annual meeting, Concord, CA./ ISMRM Annual Meeting & Exhibition, 2020, 2020, Poster 3372[ISMRM 28th annual ISMRM virtual conference & exhibition, virtual, 08. - 14. August 2020]
Power control for an MRI ablation hybrid system
Gerlach, Thomas; Alpers, Julian; Pannicke, Enrico; Hansen, Christian; Speck, Oliver; Vick, Ralf
In: ISMRM 28th annual ISMRM virtual conference & exhibition, 08. - 14. August 2020 / ISMRM Annual Meeting & Exhibition , 2020 - 2020, Poster 4217 [ISMRM 28th annual ISMRM virtual conference & exhibition, virtual, 08. - 14. August 2020]
From PCB to simulation - a workflow instruction for designing birdcage models from production data
Kowal, Robert; Prier, Marcus; Pannicke, Enrico; Röll, Stefan; Vick, Ralf; Speck, Oliver
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg: Springer, 1993, Volume 33(2020), Suppl. 1, Seite S163-164
Chemical sHift bAsed pRospectIve k-Space anonyMizAtion (CHARISMA)
Mattern, Hendrik; Knoll, Martin; Lüsebrink, Falk; Speck, Oliver
In: ISMRM 28th annual ISMRM virtual conference & exhibition, 08. - 14. August 2020: SMRT 29th annual meeting, Concord, CA./ ISMRM Annual Meeting & Exhibition, 2020, 2020, Poster 1049[ISMRM 28th annual ISMRM virtual conference & exhibition, virtual, 08. - 14. August 2020]
Perceived and mentally rotated contents are differentially represented in cortical layers of V1
Iamshchinina, Polina; Kaiser, Daniel; Yakupov, Renat; Haenelt, Daniel; Sciarra, Alessandro; Mattern, Hendrik; Duezel, Emrah; Speck, Oliver; Weiskopf, Nikolaus; Martin Cichy, Radoslaw
In: Journal of vision: an ARVO journal ; JOV - Rockville, Md.: ARVO, 2001, Bd. 20.2020, 11, S. 766[Meeting: 20th Annual Meeting of the Vision Science Society]
Specific absorption rate in a dedicated birdcage coil for nenoatal MRI
Kowal, Robert; Prier, Marcus; Pannicke, Enrico; Gerlach, Thomas; Röll, Stefan; Vick, Ralf; Speck, Oliver
In: Magnetic resonance materials in physics, biology and medicine - Heidelberg: Springer, 1993, Volume 33(2020), Suppl. 1, Seite S40
Contrast prediction-based regularization for iterative reconstructions (PROSIT)
Mattern, Hendrik; Sciarra, Alessandro; Dünnwald, Max; Chatterjee, Soumick; Müller, Ursula; Oeltze-Jafra, Steffen; Speck, Oliver
In: ISMRM 28th annual ISMRM virtual conference & exhibition, 08. - 14. August 2020 / ISMRM Annual Meeting & Exhibition , 2020 - 2020, Poster 3462 [ISMRM 28th annual ISMRM virtual conference & exhibition, virtual, 08. - 14. August 2020]
A high fMRI activation deviation score is linked to worse clinical phenotype and Aß42/40 positivity
Billette, Ornella; Ziegler, Gabriel; Schütze, Hartmut; Schott, Björn H.; Richter, Anni; Cardenas-Blanco, Arturo; Metzger, Coraline Danielle; Bittner, Daniel Markus; Glanz, Wenzel; Spottke, Annika E.; Brosseron, Frederic; Buerger, Katharina; Fließbach, Klaus; Heneka, Michael Thomas; Laske, Christoph; Nestor, Peter J.; Priller, Josef; Schneider, Anja; Speck, Oliver; Teipel, Stefan; Peters, Oliver Hubertus; Wiltfang, Jens; Perneczky, Robert; Wagner, Michael; Jessen, Frank; Maass, Anne; Düzel, Emrah
In: Konferenz: Alzheimer's Association International Conference, virtual, 27. - 31. July 2020, Alzheimer's Association International Conference - Alzheimer's Association . - 2020, insges. 2 S.
Book chapter
3D-localization of anatomic structures in tomographic images from optical flow of projection images
Punzet, Daniel; Frysch, Robert; Beuing, Oliver; Speck, Oliver; Rose, Georg
In: Proceedings of SPIE/ SPIE - Bellingham, Wash.: SPIE, Bd. 11312 (2020), S. 654-659
Entropy-based SVM classifier for automatic detection of motion artifacts in clinical MRI
Preetha, Chandrakanth Jayachandran; Mattern, Hendrik; Juneja, Medha; Vogt, Johannes; Speck, Oliver; Hartkens, Thomas
In: Bildverarbeitung für die Medizin 2020 / Workshop Bildverarbeitung für die Medizin , 2020 , 1st ed. 2020. - Wiesbaden : Springer Fachmedien Wiesbaden ; Tolxdorff, Thomas, S. 107-112
Peer-reviewed journal article
Hippocampal vascular reserve associated with cognitive performance and hippocampal volume
Perosa, Valentina; Priester, Anastasia; Ziegler, Gabriel; Cardenas-Blanco, Arturo; Dobisch, Laura; Spallazzi, Marco; Assmann, Anne; Maass, Anne; Speck, Oliver; Oltmer, Jan; Heinze, Hans-Jochen; Schreiber, Stefanie; Düzel, Emrah
In: Brain - Oxford : Oxford Univ. Press, Bd. 143 (2020), Heft 2, S. 622-634
Corrigendum - Hippocampal vascular reserve associated with cognitive performance and hippocampal volume
Perosa, Valentina; Priester, Anastasia; Ziegler, Gabriel; Cardenas-Blanco, Arturo; Dobisch, Laura; Spallazzi, Marco; Assmann, Anne; Maass, Anne; Speck, Oliver; Oltmer, Jan; Heinze, Hans-Jochen; Schreiber, Stefanie; Düzel, Emrah
In: Brain - Oxford : Oxford Univ. Press, Bd. 143 (2020), Heft 5, S. e43
Triple visual hemifield maps in a case of optic chiasm hypoplasia
Ahmadi, Khazar; Fracasso, Alessio; Puzniak, Robert J.; Gouws, Andre D.; Yakupov, Renat; Speck, Oliver; Kaufmann, Joern; Pestilli, Franco; Dumoulin, Serge O.; Morland, Antony B.; Hoffmann, Michael
In: NeuroImage - Orlando, Fla. : Academic Press - Volume 215.2020, article 116822, insgesamt 13 Seiten
Phase-contrast MRI detection of ventricular shunt CSF flow - proof of principle
König, Rebecca E.; Stucht, Daniel; Baecke, Sebastian; Rashidi, Ali; Speck, Oliver; Sandalcioglu, I. Erol; Luchtmann, Michael
In: Journal of neuroimaging - Berlin [u.a.]: Wiley-Blackwell, 1991, Bd. 30 (2020), 6, S. 746-753
Transorbital alternating current stimulation modifies BOLD activity in healthy subjects and in a stroke patient with hemianopia - a 7 Tesla fMRI feasibility study
Sabel, Bernhard A.; Abd Hamid, Aini Ismafairus Binti; Borrmann, Carolin; Speck, Oliver; Antal, Andrea
In: International journal of psychophysiology: official journal of the International Organization of Psychophysiology - Amsterdam [u.a.]: Elsevier Science, Bd. 154.2020, S. 80-92
Contrast-enhancement in the wall of a cerebral fusiform aneurysm in neuroborreliosis at 7 T MRI
Perosa, Valentina; Bartels, Claudius; Godenschweger, Frank; Speck, Oliver; Heinze, Hans-Jochen; Vielhaber, Stefan; Schreiber, Stefanie
In: Journal of the neurological sciences - Amsterdam [u.a.] : Elsevier Science - Volume 418.2020, article 117112
Prominent white matter involvement in multiple system atrophy of cerebellar type
Faber, Jennifer; Giordano, Ilaria; Jiang, Xueyan; Kindler, Christine; Spottke, Annika; AcostaCabronero, Julio; Nestor, Peter J.; Wesenberg, Judith; Düzel, Emrah; Vielhaber, Stefan; Speck, Oliver; Dudešek, Ales; Kamm, Christoph; Scheef, Lukas; Klockgether, Thomas
In: Movement disorders - New York, NY : Wiley, Bd. 35 (2020), Heft 5, S. 816-824
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