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Detecting Thalamic Abnormalities in Autism Using Cylinder Conformal Mapping

  • Qing He
  • Ye Duan
  • Xiaotian Yin
  • Xianfeng Gu
  • Kevin Karsch
  • Judith Miles
Conference paper
  • 841 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5359)

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.

Keywords

Surface Match Conformal Parameterization Thalamic Volume True Positive Fraction Open Cylinder 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Qing He
    • 1
  • Ye Duan
    • 1
  • Xiaotian Yin
    • 2
  • Xianfeng Gu
    • 2
  • Kevin Karsch
    • 1
  • Judith Miles
    • 3
  1. 1.Department of Computer ScienceUniversity of Missouri-ColumbiaColumbiaUSA
  2. 2.State University of New York at Stony Brook, Stony BrookNew YorkUSA
  3. 3.Thompson Center for AutismUniversity of Missouri-ColumbiaColumbiaUSA

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