[HTML][HTML] Quantitative map** of the brain's structural connectivity using diffusion MRI tractography: A review

F Zhang, A Daducci, Y He, S Schiavi, C Seguin… - Neuroimage, 2022 - Elsevier
Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …

An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan

F Zhang, Y Wu, I Norton, L Rigolo, Y Rathi, N Makris… - Neuroimage, 2018 - Elsevier
This work presents an anatomically curated white matter atlas to enable consistent white
matter tract parcellation across different populations. Leveraging a well-established …

Prevalence of white matter pathways coming into a single white matter voxel orientation: The bottleneck issue in tractography

KG Schilling, CMW Tax, F Rheault… - Human brain …, 2022 - Wiley Online Library
Characterizing and understanding the limitations of diffusion MRI fiber tractography is a
prerequisite for methodological advances and innovations which will allow these techniques …

[HTML][HTML] Using diffusion MRI data acquired with ultra-high gradient strength to improve tractography in routine-quality data

C Maffei, C Lee, M Planich, M Ramprasad, N Ravi… - Neuroimage, 2021 - Elsevier
The development of scanners with ultra-high gradient strength, spearheaded by the Human
Connectome Project, has led to dramatic improvements in the spatial, angular, and diffusion …

Reproducibility of superficial white matter tracts using diffusion-weighted imaging tractography

M Guevara, C Román, J Houenou, D Duclap… - Neuroimage, 2017 - Elsevier
Human brain connection map is far from being complete. In particular the study of the
superficial white matter (SWM) is an unachieved task. Its description is essential for the …

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 …

AnatomiCuts: hierarchical clustering of tractography streamlines based on anatomical similarity

V Siless, K Chang, B Fischl, A Yendiki - NeuroImage, 2018 - Elsevier
Diffusion MRI tractography produces massive sets of streamlines that contain a wealth of
information on brain connections. The size of these datasets creates a need for automated …

[HTML][HTML] FFClust: fast fiber clustering for large tractography datasets for a detailed study of brain connectivity

A Vázquez, N López-López, A Sánchez, J Houenou… - NeuroImage, 2020 - Elsevier
Automated methods that can identify white matter bundles from large tractography datasets
have several applications in neuroscience research. In these applications, clustering …

A comparison of three fiber tract delineation methods and their impact on white matter analysis

VJ Sydnor, AM Rivas-Grajales, AE Lyall, F Zhang… - Neuroimage, 2018 - Elsevier
Diffusion magnetic resonance imaging (dMRI) is an important method for studying white
matter connectivity in the brain in vivo in both healthy and clinical populations …

Fast automatic segmentation of white matter streamlines based on a multi-subject bundle atlas

N Labra, P Guevara, D Duclap, J Houenou, C Poupon… - Neuroinformatics, 2017 - Springer
This paper presents an algorithm for fast segmentation of white matter bundles from massive
dMRI tractography datasets using a multisubject atlas. We use a distance metric to compare …