Cross validation of three inter-patients matching methods

  • Jean-Philippe Thirion
  • Gérard Subsol
  • David Dean
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1131)


In this paper, we present the cross-validation of three deformable template superimposition techniques a,b and c, used to study 3D CT images of the bony skull. Method (a) relies on the manual identification by anatomists of anthropometric landmarks, method (b) on “crest lines”, which have a pure geometric definition, and method (c) is based on 3D non-rigid intensity based matching. We propose to define and compute a distance between methods a, b, c, and also to compute three representations I a , Ī b , Ī c of an “average” skull model based superimposition via these three methods. The overall aim is to determine if the three methods, all developed independently, give mutually coherent image superimposition results.


Average Patient Reference Specimen Circular Permutation Crest Line Computer Assist Surgery 
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 1996

Authors and Affiliations

  • Jean-Philippe Thirion
    • 1
  • Gérard Subsol
    • 1
  • David Dean
    • 2
  1. 1.Projet EpidaureNRIASophia Antipolis CedexFrance
  2. 2.Department of AnatomyCase Western Reserve UniversityClevelandUSA

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