A5083898213- Advanced MRI Techniques and Applications
- Lanthanide and Transition Metal Complexes
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Cardiac Imaging and Diagnostics
- Advanced Neuroimaging Techniques and Applications
- Cholinesterase and Neurodegenerative Diseases
- Functional Brain Connectivity Studies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Atomic and Subatomic Physics Research
- Photoacoustic and Ultrasonic Imaging
- Cerebrovascular and Carotid Artery Diseases
- Radiomics and Machine Learning in Medical Imaging
- Topic Modeling
- Biological Research and Disease Studies
- Distributed and Parallel Computing Systems
- Software Testing and Debugging Techniques
- Pediatric Urology and Nephrology Studies
- Natural Language Processing Techniques
Fraunhofer Institute for Digital Medicine
2021-2025
Introduction Loss of blood-brain barrier (BBB) integrity is hypothesised to be one the earliest microvascular signs Alzheimer’s disease (AD). Existing BBB imaging methods involve contrast agents or ionising radiation, and pose limitations in terms cost logistics. Arterial spin labelling (ASL) perfusion MRI has been recently adapted map permeability non-invasively. The DEveloping BBB-ASL as a non-Invasive Early biomarker (DEBBIE) consortium aims develop this modified ASL-MRI technique for...
Abstract Objectives Caffeine, a known neurostimulant and adenosine antagonist, affects brain physiology by decreasing cerebral blood flow. It interacts with receptors to induce vasoconstriction, potentially disrupting homeostasis. However, the impact of caffeine on blood–brain barrier (BBB) permeability water remains underexplored. This study investigated exchange via BBB in perturbed physiological condition caused ingestion, using multiple echo time (multi-TE) arterial spin labeling (ASL)...
Multiple echo-time arterial spin labelling (multi-TE ASL) offers estimation of blood-tissue exchange dynamics by probing the T2 relaxation labelled spins. In this study, we provide a recipe for robust assessment time (Texch) as proxy measure blood-brain barrier (BBB) integrity based on test-retest analysis. This includes novel scan protocol and an extension two-compartment model with "intra-voxel transit time" (ITT) to address tissue effects. With extended model, intend separate underlying...
Introduction The complexity of Magnetic Resonance Imaging (MRI) sequences requires expert knowledge about the underlying contrast mechanisms to select from wide range available applications and protocols. Automation this process using machine learning (ML) can support radiologists MR technicians by complementing their experience finding optimal MRI sequence protocol for certain applications. Methods We define domain-specific languages (DSL) both describing formulating clinical demands...
Purpose Measurements of liver perfusion yield valuable information about certain diseases like carcinomas and cirrhosis. To assess perfusion, noninvasive arterial spin labeling (ASL) MRI has the potential to become an important alternative contrast agent–based methods. Unfortunately, ASL perfusion‐weighted images are highly susceptible breathing motion. This work presents a prospective motion‐compensation technique, tackling motion during experiments human liver. Methods Feasibility 3D...
This work demonstrates the formulation of MRI sequences in a high-level Domain Specific Language (DSL). The DSL approach reduces complexity MR sequence programming and enables optimization preconfigured parameters using simulations. Finally, gammaSTAR framework, can be directly run on real scanners.
A spatial mapping of the renal filtration function blood might be helpful in identifying parts kidney that only work with reduced and are therefore impaired most. This shows an approach to a non-invasive method map rate kidney.
Arterial Spin Labeling has great potential in clinics as a non-invasive alternative to Dynamic Contrast Enhanced imaging. However, motion sensitivity needs be tackled by readout techniques such 3D GRASE PROPELLER, which unfortunately shows high geometric distortion. Analytical separation of and distortion effects is computationally demanding might fail some situations. To this aim, U-NET based convolutional neural network approach demonstrated overcome limitation.
Motion correction in interleaved 23Na/1H MRI of the human heart is important to improve diagnostic reliability reconstructed images and derived quantitative parameters. Therefore, this work demonstrates compares application different reconstruction techniques undersampled motion-gated data at 7 T.
Purpose Arterial spin labeling allows noninvasive measurement of cerebral blood flow by magnetically inflowing blood, using it as endogenous tracer. Unfortunately, sensitivity to subject motion is high due the subtractive nature arterial labeling, which especially problematic if Cartesian segmented 3D gradient and echo (GRASE) applied. Using a GRASE PROPELLER (3DGP) segmentation, retrospective correction in‐plane rigid body possible before final combination different segments. However,...
Assessment of liver perfusion can yield valuable information about diseases like carcinoma and cirrhosis. Arterial spin labeling enables contrast-free measurements with the drawback increased motion sensitivity. Since timed breathing protocols prolong scan times, a novel prospective correction technique is presented, adjusting initial saturation image readout to current position during cycle. The presented compatible highly suppressed signals, typically encountered in modern ASL imaging...