Surface-enhanced tractography (SET).

Details

Serval ID
serval:BIB_3972F8FEB74F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Surface-enhanced tractography (SET).
Journal
NeuroImage
Author(s)
St-Onge E., Daducci A., Girard G., Descoteaux M.
ISSN
1095-9572 (Electronic)
ISSN-L
1053-8119
Publication state
Published
Issued date
01/04/2018
Peer-reviewed
Oui
Volume
169
Pages
524-539
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
In this work, we exploit the T1 weighted image in conjunction with cortical surface boundary to improve the precision of tractography under the cortex. We show that utilizing the cortical interface and a surface flow, to model the superficial white matter streamlines, enhance and improve tractography trajectory near the cortex. Our novel surface-enhanced tractography reduces the gyral bias, the length bias and the amount of false positive streamlines produced by tractography. This method improves the reproducibility and the cortical surface coverage of tractograms which are crucial for connectomics studies. The usage of cortical surfaces, extracted from the standardly acquired 1 mm isotropic T1, is a straightforward and effective way to improve existing tractography processing pipelines and structural connectivity studies.
Keywords
Cerebral Cortex/diagnostic imaging, Diffusion Tensor Imaging/methods, Diffusion Tensor Imaging/standards, Humans, Image Processing, Computer-Assisted/methods, Image Processing, Computer-Assisted/standards, Models, Theoretical, Reproducibility of Results, White Matter/diagnostic imaging, Connectome, Diffusion MRI, Discrete differential geometry, Gyral bias, Gyrification, Tractography, White matter
Pubmed
Web of science
Create date
10/01/2018 9:49
Last modification date
20/08/2019 14:29
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