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Proceedings Paper

An improved algorithm of fiber tractography demonstrates postischemic cerebral reorganization
Author(s): Xiao-dong Liu; Jie Lu; Li Yao; Kun-cheng Li; Xiao-jie Zhao
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Paper Abstract

In vivo white matter tractography by diffusion tensor imaging (DTI) accurately represents the organizational architecture of white matter in the vicinity of brain lesions and especially ischemic brain. In this study, we suggested an improved fiber tracking algorithm based on TEND, called TENDAS, for tensor deflection with adaptive stepping, which had been introduced a stepping framework for interpreting the algorithm behavior as a function of the tensor shape (linear-shaped or not) and tract history. The propagation direction at each step was given by the deflection vector. TENDAS tractography was used to examine a 17-year-old recovery patient with congenital right hemisphere artery stenosis combining with fMRI. Meaningless picture location was used as spatial working memory task in this study. We detected the shifted functional localization to the contralateral homotypic cortex and more prominent and extensive left-sided parietal and medial frontal cortical activations which were used directly as seed mask for tractography for the reconstruction of individual spatial parietal pathways. Comparing with the TEND algorithms, TENDAS shows smoother and less sharp bending characterization of white matter architecture of the parietal cortex. The results of this preliminary study were twofold. First, TENDAS may provide more adaptability and accuracy in reconstructing certain anatomical features, whereas it is very difficult to verify tractography maps of white matter connectivity in the living human brain. Second, our study indicates that combination of TENDAS and fMRI provide a unique image of functional cortical reorganization and structural modifications of postischemic spatial working memory.

Paper Details

Date Published: 12 March 2008
PDF: 8 pages
Proc. SPIE 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images, 69161T (12 March 2008); doi: 10.1117/12.770175
Show Author Affiliations
Xiao-dong Liu, Beijing Normal Univ. (China)
Jie Lu, Beijing Normal Univ. (China)
Xuanwu Hospital, Capital Univ. of Medical Sciences (China)
Li Yao, Beijing Normal Univ. (China)
Kun-cheng Li, Xuanwu Hospital, Capital Univ. of Medical Sciences (China)
Xiao-jie Zhao, Beijing Normal Univ. (China)

Published in SPIE Proceedings Vol. 6916:
Medical Imaging 2008: Physiology, Function, and Structure from Medical Images
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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