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Proceedings Paper

Estimating number of fiber directions per voxel for ICA DTI tractography
Author(s): Chi-Wah Wong; Manbir Singh
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Paper Abstract

Recently, we have shown that Independent Component Analysis (ICA) can be used to recover up to three distinct fiber directions per voxel by using diffusion MRI data with 25 gradient directions. One prerequisite of our ICA approach is that the number of fiber directions per voxel be known. In this paper, we present a method to extract voxels with zero to three fiber directions and classify them accordingly using diffusion MRI data. The approach relies on the SPM segmented white matter images as well as diffusion anisotropic values per voxel. K-means segmentation and constrained non-linear optimization techniques are used to classify voxels into one to three fiber directions. The diffusion model for optimization is based on the hierarchy of diffusion characteristics. The method is tested with a healthy human subject. It is observed that the fiber maps are consistent with the underlying brain anatomy.

Paper Details

Date Published: 29 March 2007
PDF: 8 pages
Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65110E (29 March 2007); doi: 10.1117/12.710275
Show Author Affiliations
Chi-Wah Wong, Univ. of Southern California (United States)
Manbir Singh, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 6511:
Medical Imaging 2007: Physiology, Function, and Structure from Medical Images
Armando Manduca; Xiaoping P. Hu, Editor(s)

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