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Structure-specific statistical mapping of white matter tracts using the continuous medial representation

Yushkevich, PA; Zhang, H; Gee, JC; Simon, TJ; (2007) Structure-specific statistical mapping of white matter tracts using the continuous medial representation. In: Proceedings of the IEEE International Conference on Computer Vision.

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Abstract

This paper describes a new statistical analysis framework for diffusion-based white matter studies. The framework is based on a recent unbiased normalization algorithm for diffusion tensor images. Taking advantage of the fact that most human white matter tracts are thin sheet-like structures, this framework uses deformable medial models to represent six of the major tracts in a white matter atlas derived for a given set of images. The medial representation allows one to average tensor-based features along directions perpendicular to the tracts, thus reducing data dimensionality and accounting for errors in normalization. Unlike earlier work in the area of tract-based spatial statistics (Smith et al., 2006), this framework enables the analysis of individual white matter structures, and provides a range of possibilities for computing statistics and visualizing differences between cohorts. The framework is demonstrated in a study of white matter differences in pediatric chromosome 22q deletion syndrome. ©2007 IEEE.

Type:Proceedings paper
Title:Structure-specific statistical mapping of white matter tracts using the continuous medial representation
DOI:10.1109/ICCV.2007.4409169
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

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