3D Active Shape and Appearance Models in Cardiac Image Analysis

Abstract

This chapter introduces statistical shape- and appearance models and their biomedical applications. Three- and four-dimensional extension of these models are the main focus. Approaches leading to automated landmark definition are introduced and discussed. The applicability is underlined by presenting practical examples of 3D medical image segmentation.

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Authors

1. B. Legeveldt
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2. A. Frangi
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3. S. Mitchell
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4. H. van Assen
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5. S. Ordas
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6. J. Reiber
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7. M. Sonka
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Editor information

Editors and Affiliations

1. Ecole Nationale des Ponts et Chaussees, Champs sur Marne, France

   Nikos Paragios

2. University of Florida, Gainesville, USA

   Yunmei Chen

3. INRIA, Sophia Antipolis, France

   Olivier Faugeras

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© 2006 Springer Science+Business Media, Inc.

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Legeveldt, B. et al. (2006). 3D Active Shape and Appearance Models in Cardiac Image Analysis. In: Paragios, N., Chen, Y., Faugeras, O. (eds) Handbook of Mathematical Models in Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/0-387-28831-7_29

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• DOI: https://doi.org/10.1007/0-387-28831-7_29

• Publisher Name: Springer, Boston, MA

• Print ISBN: 978-0-387-26371-7

• Online ISBN: 978-0-387-28831-4

• eBook Packages: Computer ScienceComputer Science (R0)

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