Can spherical deconvolution provide more information than fiber orientations? Hindrance modulated orientational anisotropy, a true‐tract specific index to …
Diffusion tensor imaging (DTI) methods are widely used to reconstruct white matter
trajectories and to quantify tissue changes using the average diffusion properties of each …
trajectories and to quantify tissue changes using the average diffusion properties of each …
Multi-diffusion-tensor fitting via spherical deconvolution: a unifying framework
In analyzing diffusion magnetic resonance imaging, multi-tensor models address the
limitations of the single diffusion tensor in situations of partial voluming and fiber crossings …
limitations of the single diffusion tensor in situations of partial voluming and fiber crossings …
Sparse and Adaptive Diffusion Dictionary (SADD) for recovering intra-voxel white matter structure
On the analysis of the Diffusion-Weighted Magnetic Resonance Images, multi-compartment
models overcome the limitations of the well-known Diffusion Tensor model for fitting in vivo …
models overcome the limitations of the well-known Diffusion Tensor model for fitting in vivo …
White Matter Structural Changes after Multiple Concussions in Adolescents and Young Adults
A Venkataraman, SP Meyers, J Zhong - archive.ismrm.org
Diffusion MRI (dMRI)-based studies in Traumatic Brain Injury have elucidated local and
global WM alterations after injury. However, no studies have quantified how repeated …
global WM alterations after injury. However, no studies have quantified how repeated …
Estimating number of fiber directions per voxel for ICA DTI tractography
CW Wong, M Singh - Medical Imaging 2007: Physiology …, 2007 - spiedigitallibrary.org
Recently, we have shown that Independent Component Analysis (ICA) can be used to
recover up to three distinct fiber directions per voxel by using diffusion MRI data with 25 …
recover up to three distinct fiber directions per voxel by using diffusion MRI data with 25 …
[CITACE][C] Reconstruction of Complex White Matter Architecture from Diffusion MRI
S Nedjati-Gilani - 2008 - University College London