Estimation of individual axon bundle properties by a Multi-Resolution Discrete-Search method
R Coronado-Leija, A Ramirez-Manzanares… - Medical Image …, 2017 - Elsevier
A stable, accurate and robust-to-noise method for the estimation of the intra-voxel bundle-
wise diffusion properties for diffusion-weighted magnetic resonance imaging is presented …
wise diffusion properties for diffusion-weighted magnetic resonance imaging is presented …
Joint spatial-angular sparse coding for dMRI with separable dictionaries
Diffusion MRI (dMRI) provides the ability to reconstruct neuronal fibers in the brain, in vivo,
by measuring water diffusion along angular gradient directions in q-space. High angular …
by measuring water diffusion along angular gradient directions in q-space. High angular …
Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning
We present a sparse Bayesian unmixing algorithm BusineX: Bayesian Unmixing for Sparse
Inference-based Estimation of Fiber Crossings (X), for estimation of white matter fiber …
Inference-based Estimation of Fiber Crossings (X), for estimation of white matter fiber …
Diffusion capillary phantom vs. human data: outcomes for reconstruction methods depend on evaluation medium
Purpose: Diffusion MRI provides a non-invasive way of estimating structural connectivity in
the brain. Many studies have used diffusion phantoms as benchmarks to assess the …
the brain. Many studies have used diffusion phantoms as benchmarks to assess the …
[HTML][HTML] Harmonizing 1.5 T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators
Diffusion weighted magnetic resonance imaging (DW-MRI) is interpreted as a quantitative
method that is sensitive to tissue microarchitecture at a millimeter scale. However, the …
method that is sensitive to tissue microarchitecture at a millimeter scale. However, the …
Converting multi-shell and diffusion spectrum imaging to high angular resolution diffusion imaging
FC Yeh, TD Verstynen - Frontiers in Neuroscience, 2016 - frontiersin.org
Multi-shell and diffusion spectrum imaging (DSI) are becoming increasingly popular
methods of acquiring diffusion MRI data in a research context. However, single-shell …
methods of acquiring diffusion MRI data in a research context. However, single-shell …
Analytical and fast fiber orientation distribution reconstruction in 3D-polarized light imaging
A Alimi, S Deslauriers-Gauthier, F Matuschke… - Medical image …, 2020 - Elsevier
Abstract Three dimensional Polarized Light Imaging (3D-PLI) is an optical technique which
allows mapping the spatial fiber architecture of fibrous postmortem tissues, at sub-millimeter …
allows mapping the spatial fiber architecture of fibrous postmortem tissues, at sub-millimeter …
Porting Matlab Applications to High-Performance C++ Codes: CPU/GPU-Accelerated Spherical Deconvolution of Diffusion MRI Data
In many scientific research fields, Matlab has been established as de facto tool for
application design. This approach offers multiple advantages such as rapid deployment …
application design. This approach offers multiple advantages such as rapid deployment …
Empirical consideration of the effects of acquisition parameters and analysis model on clinically feasible q-ball imaging
Q-ball imaging (QBI) is a popular high angular resolution diffusion imaging (HARDI)
technique used to study brain architecture in vivo. Simulation and phantom-based studies …
technique used to study brain architecture in vivo. Simulation and phantom-based studies …
The IronTract challenge: Validation and optimal tractography methods for the HCP diffusion acquisition scheme
We present results from IronTract, the first challenge to evaluate tractography on the two-
shell diffusion scheme of the Human Connectome Project (HCP). Accuracy was evaluated …
shell diffusion scheme of the Human Connectome Project (HCP). Accuracy was evaluated …