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Proceedings Paper

Quantitative and visual analysis of white matter integrity using diffusion tensor imaging
Author(s): Xuwei Liang; Qi Zhuang; Ning Cao; Jun Zhang
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Paper Abstract

A new fiber tract-oriented quantitative and visual analysis scheme using diffusion tensor imaging (DTI) is developed to study the regional micro structural white matter changes along major fiber bundles which may not be effectively revealed by existing methods due to the curved spatial nature of neuronal paths. Our technique is based on DTI tractography and geodesic path mapping, which establishes correspondences to allow cross-subject evaluation of diffusion properties by parameterizing the fiber pathways as a function of geodesic distance. A novel isonodes visualization scheme is proposed to render regional statistical features along the fiber pathways. Assessment of the technique reveals specific anatomical locations along the genu of the corpus callosum paths with significant diffusion property changes in the amnestic mild cognitive impairment subjects. The experimental results show that this approach is promising and may provide a sensitive technique to study the integrity of neuronal connectivity in human brain.

Paper Details

Date Published: 13 March 2009
PDF: 8 pages
Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 726131 (13 March 2009); doi: 10.1117/12.812268
Show Author Affiliations
Xuwei Liang, Lab. for Computational Medical Imaging & Data Analysis, Univ. of Kentucky (United States)
Qi Zhuang, Lab. for Computational Medical Imaging & Data Analysis, Univ. of Kentucky (United States)
Ning Cao, Lab. for Computational Medical Imaging & Data Analysis, Univ. of Kentucky (United States)
Jun Zhang, Lab. for Computational Medical Imaging & Data Analysis, Univ. of Kentucky (United States)


Published in SPIE Proceedings Vol. 7261:
Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kenneth H. Wong, Editor(s)

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