Abstract #4298

Surface-based Shape Morphometry Analysis of Human White Matter Tracts

Yi-Chia Kung¹, Chu-Chung Huang², Chih-Chin Heather Hsu^1,3, Shin Tai Chong¹, Ching-Po Lin¹, and Chun-Hung Yeh^4,5

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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