Detecting Thalamic Abnormalities in Autism Using Cylinder Conformal Mapping

  • Authors:

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

  • Affiliations:

  • Department of Computer Science, University of Missouri-Columbia, Columbia, USA 65211;Department of Computer Science, University of Missouri-Columbia, Columbia, USA 65211;State University of New York at Stony Brook, Stony Brook, New York, USA 11794;State University of New York at Stony Brook, Stony Brook, New York, USA 11794;Department of Computer Science, University of Missouri-Columbia, Columbia, USA 65211;Thompson Center for Autism, University of Missouri-Columbia, Columbia, USA 65211

  • Venue:
  • ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
  • Year:
  • 2008

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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 paper, we applied advanced computational techniques to extract 3D surface models of the thalamus and subsequently analyze highly localized shape variations in a homogeneous group of autism children. In particular, a new conformal parameterization for high genus surfaces is applied in our shape analysis work, which maps the surfaces onto a cylinder domain. Surface matching among different individual meshes is achieved by re-triangulating each mesh according to the template. Children with autism and their controls are compared, and statistical significant abnormalities in thalamus of autism are detected.