Shape analysis of corpus callosum in autism subtype using planar conformal mapping

Qing He; Ye Duan; Xiaotian Yin; Xianfeng Gu; Kevin Karsch; Judith Miles

doi:10.1117/12.812285

27 February 2009 Shape analysis of corpus callosum in autism subtype using planar conformal mapping

Qing He, Ye Duan, Xiaotian Yin, Xianfeng Gu, Kevin Karsch, Judith Miles

Author Affiliations +

Proceedings Volume 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging; 726217 (2009) https://doi.org/10.1117/12.812285
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

A number of studies have documented that autism has a neurobiological basis, but the anatomical extent of these neurobiological abnormalities is largely unknown. In this study, we aimed at analyzing highly localized shape abnormalities of the corpus callosum in a homogeneous group of autism children. Thirty patients with essential autism and twenty-four controls participated in this study. 2D contours of the corpus callosum were extracted from MR images by a semiautomatic segmentation method, and the 3D model was constructed by stacking the contours. The resulting 3D model had two openings at the ends, thus a new conformal parameterization for high genus surfaces was applied in our shape analysis work, which mapped each surface onto a planar domain. Surface matching among different individual meshes was achieved by re-triangulating each mesh according to a template surface. Statistical shape analysis was used to compare the 3D shapes point by point between patients with autism and their controls. The results revealed significant abnormalities in the anterior most and anterior body in essential autism group.

Citation Download Citation

Qing He, Ye Duan, Xiaotian Yin, Xianfeng Gu, Kevin Karsch, and Judith Miles "Shape analysis of corpus callosum in autism subtype using planar conformal mapping", Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 726217 (27 February 2009); https://doi.org/10.1117/12.812285

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