Estimation of independent non-linear deformation modes for analysis of craniofacial malformations in crouzon mice

Michael Sass Hansen, Hildur Olafsdóttir, Tron Andre Darvann, Nuno V. Hermann, Estanio Oubel, Rasmus Larsen, Bjarne Kjær Ersbøll, Alejandro F. Frangi, Per Larsen, Chad A. Perlyn, Gillian M. Morris-Kay, Sven Kreiborg, Miles Wernick (Editor), Jeffrey A. Fessler (Editor)

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    Crouzon syndrome is a genetic disease resulting in premature fusion of cranial sutures and synchondroses causing craniosynostosis. A decade ago the Crouzon gene was discovered, and recently the first mouse model of the syndrome was generated. In this study, a set of Micro CT scannings of the heads of wild-type (normal) mice and Crouzon mice were investigated. We present for what we believe is the first time, a statistical deformation model based on independent component analysis (ICA). A set of deformation parameters for each mouse was calculated using a B-spline-based nonrigid registration. From the parameters controlling the deformations for each subject, the statistical model was estimated. ICA is demonstrated to provide localized deformation components, many of which give a clear separation between Crouzon and wild-type mice. This is a clear improvement of a previous principal component-based model, which only provided one global deformation component describing the disease. The ICA components allow interpretation of each deformation feature to be carried out independently of other features, and provides a basis for linking the observed craniofacial malformations to the fusing of sutures. ICA revealed an interesting new finding, not previously reported in the literature, namely asymmetries in the head in Crouzon mice. This phenomenon is probably caused by asymmetric closure of craniofacial sutures.
    Original languageEnglish
    Title of host publication2007 IEEE International Symposium on Biomedical Imaging
    Publication date2007
    ISBN (Print)1-4244-0672-2
    Publication statusPublished - 2007
    Event2007 IEEE International Symposium on Biomedical Imaging -
    Duration: 1 Jan 2007 → …


    Conference2007 IEEE International Symposium on Biomedical Imaging
    Period01/01/2007 → …

    Bibliographical note

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    • image registration
    • independent component analysis
    • Statistical deformation model
    • atlas

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