Cerebral white matter analysis using diffusion imaging (2006)
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BibTeX
@MISC{O’donnell06cerebralwhite,
author = {Lauren Jean O’donnell},
title = {Cerebral white matter analysis using diffusion imaging },
year = {2006}
}
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Abstract
In this thesis we address the whole-brain tractography segmentation problem. Diffusion magnetic resonance imaging can be used to create a representation of white matter tracts in the brain via a process called tractography. Whole brain tractography outputs thousands of trajectories that each approximate a white matter fiber pathway. Our method performs automatic organization, or segmention, of these trajectories into anatomical regions and gives automatic region correspondence across subjects. Our method enables both the automatic group comparison of white matter anatomy and of its regional diffusion properties, and the creation of consistent white matter visualizations across subjects. We learn a model of common white matter structures by analyzing many registered tractography datasets simultaneously. Each trajectory is represented as a point in
Keyphrases
cerebral white matter analysis diffusion imaging whole-brain tractography segmentation problem regional diffusion property diffusion magnetic resonance imaging whole brain tractography white matter fiber pathway method performs automatic organization tractography datasets common white matter structure anatomical region consistent white matter visualization automatic region correspondence white matter anatomy white matter tract automatic group comparison
