Global Medical Shape Analysis Using the Laplace-Beltrami Spectrum

  • Marc Niethammer
  • Martin Reuter
  • Franz-Erich Wolter
  • Sylvain Bouix
  • Niklas Peinecke
  • Min-Seong Koo
  • Martha E. Shenton
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4791)

Abstract

This paper proposes to use the Laplace-Beltrami spectrum (LBS) as a global shape descriptor for medical shape analysis, allowing for shape comparisons using minimal shape preprocessing: no registration, mapping, or remeshing is necessary. The discriminatory power of the method is tested on a population of female caudate shapes of normal control subjects and of subjects with schizotypal personality disorder.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Marc Niethammer
    • 1
    • 2
    • 5
  • Martin Reuter
    • 3
    • 4
  • Franz-Erich Wolter
    • 3
    • 4
  • Sylvain Bouix
    • 1
    • 2
    • 5
  • Niklas Peinecke
    • 3
  • Min-Seong Koo
    • 6
  • Martha E. Shenton
    • 1
    • 5
  1. 1.Psychiatry Neuroimaging Laboratory 
  2. 2.Laboratory of Mathematics in Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston MAUSA
  3. 3.Welfenlab, Leibniz University of HannoverGermany
  4. 4.Deslab, Massachusetts Institute of Technology, Boston MAUSA
  5. 5.Laboratory of Neuroscience, VA Boston Healthcare System, Brockton MAUSA
  6. 6.Dept. of Psychiatry, Kwandong University College of Medicine, KangnungKorea

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