A5056838937- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Functional Brain Connectivity Studies
- Bone and Joint Diseases
- Fetal and Pediatric Neurological Disorders
- Traumatic Brain Injury Research
- Dementia and Cognitive Impairment Research
- Radiomics and Machine Learning in Medical Imaging
- Spinal Dysraphism and Malformations
- Peripheral Nerve Disorders
- Health, Environment, Cognitive Aging
- Brain Tumor Detection and Classification
- Medical Imaging Techniques and Applications
- Alzheimer's disease research and treatments
- Neonatal and fetal brain pathology
- Voice and Speech Disorders
- Protein purification and stability
- NMR spectroscopy and applications
- Genetics, Bioinformatics, and Biomedical Research
- AI in cancer detection
- Traumatic Brain Injury and Neurovascular Disturbances
- Multiple Sclerosis Research Studies
- Hip disorders and treatments
- Medical Image Segmentation Techniques
Vanderbilt University Medical Center
2018-2025
Vanderbilt University
2016-2025
LIG Science (United States)
2018-2024
Mayo Clinic Hospital
2024
Resonance Research (United States)
2018
Mayo Clinic
2018
Friedrich Schiller University Jena
1992-1993
Friedrich-Alexander-Universität Erlangen-Nürnberg
1984
Carlsberg Foundation
1956
White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white pathways in vivo human brains. However, like other analyses complex data, there is considerable variability protocols and techniques. This can result different reconstructions same intended pathways, which directly affects results, quantification, interpretation. In this study, we aim evaluate quantify that arises from for segmentation. Through an open call users...
SummaryRadiolysis of bovine serum albumin under aerobic and anaerobic conditions was studied by SDS—polyacrylamide gel electrophoresis. After Coomassie Blue or Fast Green staining quantitative evaluations give information about the degradation processes protein. Under nitrogen main reaction is aggregation caused covalent cross-links, which includes only a small portion intermolecular S-S bridges. air radiolysis leads to peptide chain scission, not random process, but yields specific protein...
Abstract Diffusion MRI fiber tractography has been increasingly used to map the structural connectivity of human brain. However, this technique is not without limitations; for example, there a growing concern over anatomically correlated bias in findings. In study, we demonstrate that tracking algorithms terminate preferentially on gyral crowns, rather than banks sulci. We investigate issue by comparing diffusion (dMRI) with equivalent measures made myelin‐stained histological sections....
It is now widely recognized that voxels with crossing fibers or complex geometrical configurations present a challenge for diffusion MRI (dMRI) reconstruction and fiber tracking, as well microstructural modeling of brain tissues. This "crossing fiber" problem has been estimated to affect anywhere from 30% many 90% white matter voxels, it often assumed increasing spatial resolution will decrease the prevalence containing multiple populations. The aim this study estimate extent we...
Purpose Diffusion weighted MRI imaging (DWI) is often subject to low signal‐to‐noise ratios (SNRs) and artifacts. Recent work has produced software tools that can correct individual problems, but these have not been combined with each other quality assurance (QA). A single integrated pipeline proposed perform DWI preprocessing a spectrum of produce an intuitive QA document. Methods The pipeline, built around the FSL, MRTrix3, ANTs packages, performs denoising; inter‐scan intensity...
Diffusion magnetic resonance images may suffer from geometric distortions due to susceptibility induced off fields, which cause mismatch with anatomical and ultimately affect subsequent quantification of microstructural or connectivity indices. State-of-the art diffusion distortion correction methods typically require data acquired reverse phase encoding directions, resulting in varying magnitudes orientations distortion, allow estimation an undistorted volume. Alternatively, additional...
Cross-scanner and cross-protocol variability of diffusion magnetic resonance imaging (dMRI) data are known to be major obstacles in multi-site clinical studies since they limit the ability aggregate dMRI derived measures. Computational algorithms that harmonize minimize such critical reliably combine datasets acquired from different scanners and/or protocols, thus improving statistical power sensitivity studies. Different computational approaches have been proposed MRI or remove...
Characterizing and understanding the limitations of diffusion MRI fiber tractography is a prerequisite for methodological advances innovations which will allow these techniques to accurately map connections human brain. The so-called "crossing problem" has received tremendous attention continuously triggered community develop novel approaches disentangling distinctly oriented populations. Perhaps an even greater challenge occurs when multiple white matter bundles converge within single...
Virtual dissection of white matter (WM) using diffusion MRI tractography is confounded by its poor reproducibility. Despite the increased adoption advanced reconstruction models, early region-of-interest driven protocols based on tensor imaging (DTI) remain dominant reference for virtual protocols. Here we bridge this gap providing a comprehensive description typical WM anatomy reconstructed reproducible automated subject-specific parcellation-based approach probabilistic...
Correlations between magnetic resonance imaging (MRI) blood oxygenation level–dependent (BOLD) signals from pairs of gray matter areas are used to infer their functional connectivity, but they unable describe how white is engaged in brain networks. Recently, evidence that BOLD robustly detectable and modulated by neural activities has accumulated. We introduce a three-way correlation volumes (nodes) bundles (edges) define the communication connectivity through each bundle. Using MRI images...
When investigating connectivity and microstructure of white matter pathways the brain using diffusion tractography bundle segmentation, it is important to understand potential confounds sources variation in process. While cross-scanner cross-protocol effects on measures are well described (in particular fractional anisotropy mean diffusivity), unknown how effect segmentation results, which features most affected, where variability occurs, nor these depend upon method used reconstruct segment...
Limitations in the accuracy of brain pathways reconstructed by diffusion MRI (dMRI) tractography have received considerable attention. While technical advances spearheaded Human Connectome Project (HCP) led to significant improvements dMRI data quality, it remains unclear how these should be analyzed maximize accuracy. Over a period two years, we engaged community IronTract Challenge, which aims answer this question leveraging unique dataset. Macaque brains that both tracer injections and ex...