Surface-bounded growth modeling applied to human mandibles

Per Rønsholt Andresen, F. L. Brookstein, Knut Conradsen, Bjarne Kjær Ersbøll, J. Marsh, S. Kreiborg

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    Abstract

    From a set of longitudinal three-dimensional scans of the same anatomical structure, the authors have accurately modeled the temporal shape and size changes using a linear shape model. On a total of 31 computed tomography scans of the mandible from six patients, 14,851 semilandmarks are found automatically using shape features and a new algorithm called geometry-constrained diffusion. The semilandmarks are mapped into Procrustes space. Principal component analysis extracts a one-dimensional subspace, which is used to construct a linear growth model. The worst case mean modeling error in a cross validation study is 3.7 mm.
    Original languageEnglish
    JournalI E E E Transactions on Medical Imaging
    Volume19
    Issue number11
    Pages (from-to)1053-1063
    ISSN0278-0062
    DOIs
    Publication statusPublished - 2000

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