Multi-tissue log-domain intensity and inhomogeneity normalisation for quantitative apparent fibre density
T Dhollander, R Tabbara, J Rosnarho-Tornstrand… - Proc …, 2021 - archive.ismrm.org
Multi-tissue constrained spherical deconvolution of diffusion MRI data yields white matter
fibre orientation distributions, from which a quantitative metric of apparent fibre density can …
fibre orientation distributions, from which a quantitative metric of apparent fibre density can …
[HTML][HTML] Spherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and spatial regularization
Spherical deconvolution (SD) methods are widely used to estimate the intra-voxel white-
matter fiber orientations from diffusion MRI data. However, while some of these methods …
matter fiber orientations from diffusion MRI data. However, while some of these methods …
[HTML][HTML] Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data
Spherical deconvolution is a widely used approach to quantify the fiber orientation
distribution (FOD) from diffusion MRI data of the brain. The damped Richardson-Lucy (dRL) …
distribution (FOD) from diffusion MRI data of the brain. The damped Richardson-Lucy (dRL) …
Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data
Constrained spherical deconvolution (CSD) has become one of the most widely used
methods to extract white matter (WM) fibre orientation information from diffusion-weighted …
methods to extract white matter (WM) fibre orientation information from diffusion-weighted …
Constrained spherical deconvolution of nonspherically sampled diffusion MRI data
Constrained spherical deconvolution (CSD) of diffusion‐weighted MRI (DW‐MRI) is a
popular analysis method that extracts the full white matter (WM) fiber orientation density …
popular analysis method that extracts the full white matter (WM) fiber orientation density …
Recursive calibration of the fiber response function for spherical deconvolution of diffusion MRI data
There is accumulating evidence that at current acquisition resolutions for diffusion-weighted
(DW) MRI, the vast majority of white matter voxels contains “crossing fibers”, referring to …
(DW) MRI, the vast majority of white matter voxels contains “crossing fibers”, referring to …
[PDF][PDF] A novel iterative approach to reap the benefits of multi-tissue CSD from just single-shell (+ b= 0) diffusion MRI data
T Dhollander, A Connelly - Proc ISMRM, 2016 - researchgate.net
Constrained spherical deconvolution (CSD) is a robust approach to resolve the fibre
orientation distribution (FOD) from diffusion MRI data. However, the FOD from CSD only …
orientation distribution (FOD) from diffusion MRI data. However, the FOD from CSD only …
[HTML][HTML] Multi-tissue spherical deconvolution of tensor-valued diffusion MRI
B Jeurissen, F Szczepankiewicz - Neuroimage, 2021 - Elsevier
Multi-tissue constrained spherical deconvolution (MT-CSD) leverages the characteristic b-
value dependency of each tissue type to estimate both the apparent tissue densities and the …
value dependency of each tissue type to estimate both the apparent tissue densities and the …
Robust determination of the fibre orientation distribution in diffusion MRI: non-negativity constrained super-resolved spherical deconvolution
Diffusion-weighted (DW) MR images contain information about the orientation of brain white
matter fibres that potentially can be used to study human brain connectivity in vivo using …
matter fibres that potentially can be used to study human brain connectivity in vivo using …
[HTML][HTML] Spherical deconvolution with tissue-specific response functions and multi-shell diffusion MRI to estimate multiple fiber orientation distributions (mFODs)
In diffusion MRI, spherical deconvolution approaches can estimate local white matter (WM)
fiber orientation distributions (FOD) which can be used to produce fiber tractography …
fiber orientation distributions (FOD) which can be used to produce fiber tractography …