PreQual: An automated pipeline for integrated preprocessing and quality assurance of diffusion weighted MRI images

LY Cai, Q Yang, CB Hansen, V Nath… - Magnetic resonance …, 2021 - Wiley Online Library
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 …

Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and …

KG Schilling, CMW Tax, F Rheault, C Hansen, Q Yang… - Neuroimage, 2021 - Elsevier
When investigating connectivity and microstructure of white matter pathways of the brain
using diffusion tractography bundle segmentation, it is important to understand potential …

Toward more robust and reproducible diffusion kurtosis imaging

RN Henriques, SN Jespersen… - Magnetic Resonance …, 2021 - Wiley Online Library
Purpose The general utility of diffusion kurtosis imaging (DKI) is challenged by its poor
robustness to imaging artifacts and thermal noise that often lead to implausible kurtosis …

[PDF][PDF] What has brain diffusion Mri taught us on chronic pain: a critical review

M Sean, G Little, P Bautin, M Martel, M Descoteaux… - Medrxiv, 2023 - academia.edu
Chronic pain is a widespread health condition affecting millions of individuals worldwide.
Despite its high prevalence, the underlying neural mechanisms and pathophysiology of …

What has brain diffusion MRI taught us about chronic pain: a narrative review

P Bautin, MA Fortier, M Sean, G Little, M Martel… - medRxiv, 2023 - medrxiv.org
Chronic pain is a widespread health condition affecting millions of individuals worldwide.
Despite its high prevalence, the underlying neural mechanisms and pathophysiology of …

BAI-Net: Individualized Human Cerebral Cartography using Graph Convolutional Network

L Ma, Y Zhang, H Zhang, L Cheng, J Zhuo, W Shi, Y Lu… - bioRxiv, 2021 - biorxiv.org
Individualized human cerebral cartography has drawn considerable attention in
neuroscience research. But many challenges remain, mainly due to large cross-subject …