Active Shape Analysis of Mandibular Growth



AbstractThis 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.
KeywordsGCD PLS CCA ASM PDM
TypeConference paper [With referee]
ConferenceMedical Image Computing and Computer-Assisted Intervention - MICCAI
Year2003
PublisherSpringer
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics


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