Population-based fitting of medial shape models with correspondence optimization

Timothy B. Terriberry, James N. Damon, Stephen M. Pizer, Sarang C. Joshi, Guido Gerig

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    A crucial problem in statistical shape analysis is establishing the correspondence of shape features across a population. While many solutions are easy to express using boundary representations, this has been a considerable challenge for medial representations. This paper uses a new 3-D medial model that allows continuous interpolation of the medial manifold and provides a map back and forth between it and the boundary. A measure defined on the medial surface then allows one to write integrals over the boundary and the object interior in medial coordinates, enabling the expression of important object properties in an object-relative coordinate system. We use these integrals to optimize correspondence during model construction, reducing variability due to the model parameterization that could potentially mask true shape change effects. Discrimination and hypothesis testing of populations of shapes are expected to benefit, potentially resulting in improved significance of shape differences between populations even with a smaller sample size.

    Original languageEnglish (US)
    Title of host publicationInformation Processing in Medical lmaging - 20th International Conference, IPMI 2007, Proceedings
    PublisherSpringer Verlag
    Number of pages13
    ISBN (Print)3540732721, 9783540732723
    StatePublished - 2007
    Event20th International Conference on Information Processing in Medical lmaging, IPMI 2007 - Kerkrade, Netherlands
    Duration: Jul 2 2007Jul 6 2007

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume4584 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    Other20th International Conference on Information Processing in Medical lmaging, IPMI 2007

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science


    Dive into the research topics of 'Population-based fitting of medial shape models with correspondence optimization'. Together they form a unique fingerprint.

    Cite this