title: A combinatorial method for 3D landmark-based morphometry: application to the study of coronal craniosynostosis.
abstract: We present a new method to analyze, classify and characterize 3D landmark-based shapes. It is based on a framework provided by oriented matroid theory, that is on a combinatorial encoding of convexity properties. We apply this method to a set of skull shapes presenting various types of coronal craniosynostosis.
authors.affiliation: LIRMM, CNRS/Université Montpellier 2, France.
authors.forename: Emeric
authors.initials: E
authors.lastname: Gioan
authors.forename: Kevin
authors.initials: K
authors.lastname: Sol
authors.forename: Gérard
authors.initials: G
authors.lastname: Subsol
mesh_terms: D000465:Algorithms; D059925:Anatomic Landmarks / Q000000981:diagnostic imaging*; D003398:Craniosynostoses / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007231:Infant, Newborn; D008297:Male; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*