Gesellschaft fr Informatik e.V.

Lecture Notes in Informatics


INFORMATIK 2009 - Im Focus das Leben P-154, 1294-1308 (2008).

Gesellschaft für Informatik, Bonn
2008


Editors

Stefan Fischer, Erik Maehle, Rüdiger Reischuk (eds.)


Copyright © Gesellschaft für Informatik, Bonn

Contents

An evolutionary strategy for model-based segmentation of medical data

Karin Engel and Klaus Toennies

Abstract


Medical image segmentation often involves variants of deformable models to account for both the variability of object shapes and variation in image quality. Segmentation quality, however, highly depends on the initial estimate, and human guidance is often needed to guarantee acceptable results. For automating segmentation, our method employs a quality-of-fit function associated with a finite element model of shape in a search for the optimum parametrisation. A global search with an evolutionary strategy is employed to determine the set of optimum pose parameters for initialisation of the shape models. A local search subsequently optimises the nonrigid shape parameters by employing the deformable model paradigm. Experimental results are presented for different medical applications, which include object detection, localisation and segmentation, and show the good performance of our approach.


Full Text: PDF

Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-241-3


Last changed 24.01.2012 22:08:30