This work presents an anatomically curated white matter atlas to enable consistent white matter tract parcellation across different populations. Leveraging a well-established …
METHODS Historically, most neuroimaging studies of the human brain have employed a modular view of the brain, eg, region X is responsible for function Y. This modularity of mind …
P Guevara, D Duclap, C Poupon, L Marrakchi-Kacem… - Neuroimage, 2012 - Elsevier
This paper presents a method for automatic segmentation of white matter fiber bundles from massive dMRI tractography datasets. The method is based on a multi-subject bundle atlas …
This paper presents a clustering method that detects the fiber bundles embedded in any MR- diffusion based tractography dataset. Our method can be seen as a compressing operation …
To understand factors that affect brain connectivity and integrity, it is beneficial to automatically cluster white matter (WM) fibers into anatomically recognizable tracts. Whole …
YJ Chen, YC Lo, YC Hsu, CC Fan… - Human brain …, 2015 - Wiley Online Library
Automated tract‐based analysis of diffusion MRI is an important tool for investigating tract integrity of the cerebral white matter. Current template‐based automatic analyses still lack a …
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 …
Automated methods that can identify white matter bundles from large tractography datasets have several applications in neuroscience research. In these applications, clustering …
Current brain white matter fiber tracking techniques show a number of problems, including: generating large proportions of streamlines that do not accurately describe the underlying …