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Abstract #4298

Surface-based Shape Morphometry Analysis of Human White Matter Tracts

Yi-Chia Kung1, Chu-Chung Huang2, Chih-Chin Heather Hsu1,3, Shin Tai Chong1, Ching-Po Lin1, and Chun-Hung Yeh4,5
1Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan, 2Institute of Cognitive Neuroscience, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China, 3Center for Geriatrics and Gerontology, Taipei Veterans General Hospita, Taipei, Taiwan, 4Institute for Radiological Research, Chang Gung University and Chang Gung Memorial Hospital, Taoyuan, Taiwan, 5Department of Child and Adolescent Psychiatry, Chang Gung Memorial Hospital, Linkou Medical Center, Taoyuan, Taiwan

This study proposes a novel framework for quantifying the alteration in shape morphometry of white matter (WM) fiber tracts. The surface of each WM bundle is segmented from diffusion MRI data using TractSeg, followed by surface reconstruction, parameterization, and modelling. With the M-rep parameterization and vertex-wise model distance, the proposed method was able to differentiate the level of morphological lateralization between bilateral arcuate fasciculi and cortical spinal tracts.

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