Fully automatic shape modelling using growing cell.
In this paper, we present a new framework for shape modelling and analysis: we suggest to look at the problem from a pattern recognition point of view, and claim that under this prospective several advantages are achieved. The modelling of a surface with a point distribution model is seen as an unsupervised clustering problem, and tackled by using growing cell structures. The adaptation of a model to new shapes is studied as a classification task, and provides a straightforward solution to the point correspondence problem in active shape modelling. The method is illustrated and tested in 3D synthetic datasets and applied to the modelling of brain ventricles in an elderly population.
Ferrarini
Luca
L
LKEB - Leiden University Medical Center, The Netherlands. L.Ferrarini@lumc.nl
Olofsen
Hans
H
van Buchem
Mark A
MA
Reiber
Johan H C
JH
Admiraal-Behloul
Faiza
F