A5090209155- Advanced MRI Techniques and Applications
- Lanthanide and Transition Metal Complexes
- Medical Imaging Techniques and Applications
- Advanced NMR Techniques and Applications
- Atomic and Subatomic Physics Research
- MRI in cancer diagnosis
- EEG and Brain-Computer Interfaces
- Radiomics and Machine Learning in Medical Imaging
- Neural dynamics and brain function
- Advanced Electron Microscopy Techniques and Applications
- Advanced Memory and Neural Computing
- Advanced X-ray Imaging Techniques
- Rheology and Fluid Dynamics Studies
- Advanced Neuroimaging Techniques and Applications
- Image Processing and 3D Reconstruction
- Head and Neck Cancer Studies
- Electrical and Bioimpedance Tomography
- Cardiac Imaging and Diagnostics
- Electron Spin Resonance Studies
- Viral-associated cancers and disorders
- Polymer Nanocomposites and Properties
- Eosinophilic Esophagitis
- Chemical and Physical Properties in Aqueous Solutions
- Ultrasound and Hyperthermia Applications
- Eosinophilic Disorders and Syndromes
Max Planck Institute for Biological Cybernetics
2019-2025
University of Tübingen
2021-2022
Max Planck Society
2019-2021
German Cancer Research Center
2020
Heidelberg University
2020
Johannes Gutenberg University Mainz
2019
Klinikum Bielefeld
2018
Krankenhaus Salem
2017
University Hospital Leipzig
2006
University of Basel
1987
Purpose As the field of CEST grows, various novel preparation periods using different parameters are being introduced. At same time, large, multisite clinical studies require clearly defined protocols, especially across vendors. Here, we propose a definition standard open Pulseq format for shareable, simple, and exact protocols. Methods We present benefits such in three ways: (1) an database on GitHub, where fully defined, human‐readable protocols can be shared; (2) open‐source...
Purpose In vivo 31 P MRSI enables noninvasive mapping of absolute pH values via the pH‐dependent chemical shifts inorganic phosphates (P i ). A particular challenge is quantification extracellular with low SNR in vivo. The purpose this study was to demonstrate feasibility assessing both intra‐ and across whole human brain volumetric at 7T. Methods 3D data sets were acquired from three healthy volunteers glioma patients. Low‐rank denoising applied enhance that detection high spatial...
Purpose CEST MRI enables imaging of distributions low‐concentrated metabolites as well proteins and peptides their alterations in diseases. examinations often suffer from low spatial resolution, long acquisition times, concomitant motion artifacts. This work aims to maximize both resolution volume coverage with a 3D‐EPI snapshot approach at 3T, allowing for fast robust whole‐brain MRI. Methods Resolution temporal SNR nonselective excitation were optimized clinical 3T MR scanner five healthy...
Abstract Monte Carlo simulation is extensively utilized in functional MRI research to examine the behavior of a MR sequence presence diffusion within complex microstructures. These simulations necessitate substantial number diffusing particles and time steps be modelled achieve convergence produce robust reliable results, which computationally intensive. Incorporating additional parameters enhance realism further intensifies this computational burden, particularly when simulating...
Abstract Objective Low-field magnetic resonance imaging is currently developing into a valuable diagnostic tool due to its simplicity of magnet array designs. Particularly, this allows the development scanners as part educational workshops, thus ensuring knowledge transfer and empowering local scientists design tailored solutions for specific problems. To obtain maximum performance, needs be shimmed requiring an automated system measuring spatial field distribution. Methods A self-designed...
X-ray phase-contrast micro computed tomography using synchrotron radiation (SR PhC-µCT) offers unique 3D imaging capabilities for visualizing microstructure of the human brain. Its applicability unstained soft tissue is an area active research. Acquiring images from a block without needing to section it into thin slices, as required in routine histology, allows investigating its natural space. This paper presents detailed step-by-step guideline brain at resolutions few micrometers with SR...
Abstract The draining-vein bias of T2*-weighted sequences, like gradient echo echo-planar imaging (GRE-EPI), can limit the spatial specificity functional MRI (fMRI). underlying extravascular signal changes increase with field strength (B0) and perpendicularity draining veins to main axis B0, are therefore particularly problematic at ultra-high (UHF). In contrast, simulations showed that T2-weighted sequences less affected by bias, depending on amount rephasing signal. As large pial cortical...
A framework for supervised design of MR sequences any given target contrast is proposed, based on fully automatic acquisition and reconstruction data a real scanner. The proposed method does not require modeling physics thus allows even unknown mechanisms to be addressed. derivative-free optimization algorithm set up repeatedly update execute parametrized sequence the scanner acquire data. In each iteration, acquired are mapped by linear regression. It shown that with it possible find an...
Chemical exchange saturation transfer (CEST) MRI is currently set to become part of clinical routine as it enables indirect detection low concentrated molecules and proteins. Recently, intermediate fast exchanging functional groups glucose its derivatives, glutamate dextran, have gained attention promising CEST contrast agents. To increase the specificity for certain groups, presaturation module commonly optimized. At an early stage, this performed in well-defined model solutions, which,...
The draining-vein bias of T2*-weighted sequences, like gradient echo echo-planar imaging (GRE-EPI), can limit the spatial specificity functional MRI (fMRI). underlying extravascular signal changes increase with field strength (B 0 ) and perpendicularity draining veins to main axis B , are therefore particularly problematic at ultra-high (UHF). In contrast, simulations showed that T2-weighted sequences less affected by bias, depending on amount rephasing signal. As large pial cortical surface...
Recently, we proposed a framework for automatized, model-free MR sequence design contrast generation. The concept was proven by optimizing the contrast-generating using real MRI scanner scanning model solutions repeatedly until convergence to target. In this work, demonstrate first time that live optimization loop can also be used directly on subject’s brain. As an example, GM/WM GRE optimized fully automatically in and reference-free manner healthy subject at 3T scanner.
A segmented 3D GRE EPI was adapted and optimized specifically for BOLD fMRI at a 9.4T MR system. While is widely used in fMRI, especially UHF its application becomes challenging instance long echo trains high spatial resolution. In this work, investigations on the stability of system, tSNR, flexible sequence design, different temporal phase correction schemes, efficient use limited SAR budget were performed. Finally, protocol motor cortex 1.0mm nominal isotropic resolution...
We provide a dataset for enabling Deep Generative Models (DGMs) in engineering design and propose methods to automate data labeling by utilizing large-scale foundation models. GeoBiked is curated contain 4 355 bicycle images, annotated with structural technical features used investigate two automated techniques: The utilization of consolidated latent (Hyperfeatures) from image-generation models detect geometric correspondences (e.g. the position wheel center) images generation diverse text...
Motivation: GRE-EPI, the most widely used sequence for BOLD fMRI, is highly biased towards large draining veins that follow cortical curvature and influence surrounding magnetic field in an orientation-dependent manner increasing with strength. Goal(s): This work aims to investigate vein biases resulting signal variations GRE-EPI bSSFP resting-state fMRI signals. Approach: We compared 2D 3D rs-fMRI fluctuations their dependence on orientation B0 five subjects at 9.4 Tesla. Results: Unlike...
The lack of maturity crash simulation structures made hybrid materials is a key issue for lightweight engineering in automotive industry. Tailoring local behavior and mixing while accounting this mix joining problematics the methodology are required to optimize weight costs, without need real prototype. Current vehicle programs use strengthening structural body components through hot or warm formed high strength steels joined with spot-welds. New metals composites parts new techniques...
Discovery of MR contrast and/or conventional sequence parameter optimization usually requires a theoretical model to describe physics. Here we investigate if novel contrasts can be found by directly running numerical on real MRI scanner instead simulation. To this end, derivative-free algorithm is set up repeatedly update and execute parametrized the map acquired signals given target contrast. As proof-of-principle, show that enables creatine concentration mapping learning CEST-prepared...
Abstract X-ray phase-contrast micro computed tomography using synchrotron radiation (SR PhC-µCT) offers unique 3D imaging capabilities for visualizing microstructure of the human brain. Its applicability unstained soft tissue is an area active research. Acquiring images from a block without needing to section it into thin slices, as required in routine histology, allows investigating its natural space. This paper presents detailed step-by-step guideline brain at resolutions few micrometers...
Die Fettleber ist eine der häufigsten pathologischen Befunde weltweit. Leider einfache nichtinvasive Quantifizierung z.B. im konventionellen Ultraschall bis heute nicht befriedigend gelöst.
Erhöhtes Lebereisen ist stark kanzerogen und kommt nicht nur bei genetischen Erkrankungen wie Hämochromatose vor sondern auch allen Lebererkrankungen, z. Bsp. alkoholischer Lebererkrankung.