Establishing local correspondences towards compact representations of anatomical structures

Xiaolei Huang, Nikos Paragios, Dimitris Metaxas

Research output: Contribution to journalConference articlepeer-review

35 Scopus citations


Computer-aided diagnosis is often based on comparing a structure of interest with prior models. Such a comparison requires automatic techniques in determining prior models from a set of examples and establishing local correspondences between the structure and the model. In this paper we propose a variational technique for solving the correspondence problem. The proposed method integrates a powerful representation for shapes (implicit functions), a state-of-the-art criterion for global registration (mutual information) and an efficient technique to recover local correspondences (free form deformations) that guarantees one-to-one mapping. Local correspondences can then be used to build compact representations for a structure of interest according to a set of training examples. The registration and statistical modeling of Systolic Left Ventricle shapes in Ultrasonic images demonstrate the potential of the proposed technique.

Original languageEnglish (US)
Pages (from-to)926-934
Number of pages9
JournalLecture Notes in Computer Science
Issue numberPART 2
StatePublished - 2003
EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings - Montreal, Que., Canada
Duration: Nov 15 2003Nov 18 2003

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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