Automatic construction of biventricular statistical shape models

Authors:
A. F. Frangi;D. Rueckert;J. A. Schnabel;W. J. Niessen
Affiliations:
Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain;Visual Information Processing Group, Department of Computing, Imperial College of Science, Technology and Medicine, London, UK;Computational Imaging Science Group, Division of Radiological Sciences, Guy's Hospital, King's College London, London, UK;Image Sciences Institute, University Medical Center Utrecht, The Netherlands
Venue:
FIMH'03 Proceedings of the 2nd international conference on Functional imaging and modeling of the heart
Year:
2003

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Abstract

This paper presents a method for the generation of landmarks in three-dimensional shapes and the construction of the corresponding 3-D statistical shape models. The technique relies on establishing shape correspondances via a volumetric non-rigid registration technique using multi-resolution B-spline deformations. This approach presents some advantages over previously published methods: it can treat multiple-part structures, and it requires less restrictive assumptions on the structure's topology. In this paper we address the problem of building a three-dimensional statistical shape model of the left and right ventricles of the heart from 3-D Magnetic Resonance (MR) images. This application demonstrates the robustness and accuracy of the method in the presence of large shape variability and multiple objects.