White matter tract analysis in 454 adults using maximum density paths

Prasad, Gautam, Joshi, Shantanu H,, Jahanshad, Neda, Villalon, Julio, Aganj, Iman, Lenglet, Christophe, Sapiro, Guillermo, McMahon, Katie L., de Zubicaray, Greig I., Martin, Nicholas G., Wright, Margaret J., Toga, Arthur W and Thompson, Paul M. (2011). White matter tract analysis in 454 adults using maximum density paths. In: CDMRI 2011 Proceedings. CDMRI'11 - Workshop on Computational Diffusion MRI, Toronto, Canada, (1-12). 22 September 2011.

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Name Description MIMEType Size Downloads
Author Prasad, Gautam
Joshi, Shantanu H,
Jahanshad, Neda
Villalon, Julio
Aganj, Iman
Lenglet, Christophe
Sapiro, Guillermo
McMahon, Katie L.
de Zubicaray, Greig I.
Martin, Nicholas G.
Wright, Margaret J.
Toga, Arthur W
Thompson, Paul M.
Title of paper White matter tract analysis in 454 adults using maximum density paths
Conference name CDMRI'11 - Workshop on Computational Diffusion MRI
Conference location Toronto, Canada
Conference dates 22 September 2011
Proceedings title CDMRI 2011 Proceedings
Publication Year 2011
Sub-type Fully published paper
Start page 1
End page 12
Total pages 12
Collection year 2012
Language eng
Abstract/Summary We introduce a framework for population analysis of white matter tracts in diffusion weighted images. Our pipeline computes fibers from high angular resolution diffusion imaging (HARDI) images; it clusters the fibers incorporating prior knowledge from an atlas; the method then represents each fiber bundle compactly using a path following points of highest density (maximum density path; MDP); and registers these paths together using geodesic curve registration to find local correspondences across a population. Our framework is tested with 454 subjects images using 4-Tesla HARDI to find localized statistics across 50 white matter tracts based on fractional anisotropy (FA) and sex differences. In addition, we compared the results with those derived with streamline tractography.
Keyword HARDI
Atlanta Centennial Olympics
Shortest path
Geodesic distance
Hough Transform
Q-Index Code EX
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes This workshop (CDMRI'11), held under the auspices of the 14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011, provides a snapshot of the current state of the art and gives some insight into the future of diffusion MRI analysis.

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Created: Wed, 19 Oct 2011, 12:35:44 EST by Sandrine Ducrot on behalf of Centre for Advanced Imaging