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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
  • University of Missouri
  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings
Pages743-751
Number of pages9
EditionPART 2
DOIs
StatePublished - 2008
Event4th International Symposium on Visual Computing, ISVC 2008 - Las Vegas, NV, United States
Duration: Dec 1 2008Dec 3 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5359 LNCS

Conference

Conference4th International Symposium on Visual Computing, ISVC 2008
Country/TerritoryUnited States
CityLas Vegas, NV
Period12/1/0812/3/08

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