Active Shape Analysis of Mandibular Growth

Klaus Baggesen Hilger, Rasmus Larsen, Sven Kreiborg, Søren Krarup, Tron Andre Darvann, Jeffrey Marsh

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    This work contains a clinical validation using biological landmarks of a Geometry Constrained Diffusion registration of mandibular surfaces. Canonical Correlations Analysis is extended to analyse 3D landmarks and the correlations are used as similarity measures for landmark clustering. A novel Active Shape Model is proposed targeting growth modelling by applying Partial Least Squares regression in decomposing the Procrustes tangent space. Shape centroid size is applied as dependent variable but the method generalizes to handle other, both uni- and multivariate, effects probing for high covariation wrt. shape variation.
    Original languageEnglish
    Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI
    Publication date2003
    Publication statusPublished - 2003


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