[HTML][HTML] Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI
Estimation of white matter fiber orientation distribution function (fODF) is the essential first
step for reliable brain tractography and connectivity analysis. Most of the existing fODF …
step for reliable brain tractography and connectivity analysis. Most of the existing fODF …
[HTML][HTML] Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results
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 …
(dMRI) data are known to be major obstacles in multi-site clinical studies since they limit the …
Diffusion mri with machine learning
D Karimi - arXiv preprint arXiv:2402.00019, 2024 - arxiv.org
Diffusion-weighted magnetic resonance imaging (dMRI) offers unique capabilities such as
noninvasive assessment of brain's micro-structure and structural connectivity. However …
noninvasive assessment of brain's micro-structure and structural connectivity. However …
[HTML][HTML] On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO …
Diffusion MRI (dMRI) has become an invaluable tool to assess the microstructural
organization of brain tissue. Depending on the specific acquisition settings, the dMRI signal …
organization of brain tissue. Depending on the specific acquisition settings, the dMRI signal …
Contrastive semi-supervised harmonization of single-shell to multi-shell diffusion MRI
Abstract Diffusion weighted MRI (DW-MRI) harmonization is necessary for multi-site or multi-
acquisition studies. Current statistical methods address the need to harmonize from one site …
acquisition studies. Current statistical methods address the need to harmonize from one site …
A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging
Accurate modeling of diffusion-weighted magnetic resonance imaging measurements is
necessary for accurate brain connectivity analysis. Existing methods for estimating the …
necessary for accurate brain connectivity analysis. Existing methods for estimating the …
Geometric deep learning for diffusion MRI signal reconstruction with continuous samplings (DISCUS)
Diffusion-weighted magnetic resonance imaging (dMRI) permits a detailed in-vivo analysis
of neuroanatomical microstructure, invaluable for clinical and population studies. However …
of neuroanatomical microstructure, invaluable for clinical and population studies. However …
Uncertainty Reduction in Diffusion Magnetic Resonance Imaging Tractography
JP Grün - 2024 - bonndoc.ulb.uni-bonn.de
Diffusion Magnetic Resonance Imaging (dMRI) is currently the only non-invasive method
capable of mapping the geometry and microstructure of major white matter tracts in vivo …
capable of mapping the geometry and microstructure of major white matter tracts in vivo …
Empirical and Data-Driven Harmonization of Diffusion Weighted MRI
CB Hansen - 2021 - search.proquest.com
Abstract Diffusion weighted MRI (DW-MRI) is known for mapping white matter fibers of the
brain and serves as the only available technique to probe tissue structure at a microscopic …
brain and serves as the only available technique to probe tissue structure at a microscopic …
Integrating Histology and Microarchitecture Modeling with Deep Learning for Diffusion-Weighted Magnetic Resonance Imaging
V Nath - 2020 - ir.vanderbilt.edu
The human brain is one of the most complex organs to understand in terms of anatomy and
microstructural tissue properties of the brain's white matter. There is still a lack of …
microstructural tissue properties of the brain's white matter. There is still a lack of …