3D active shape and appearance models in cardiac image analysis

B. Lelieveld; A. F Frangi; S. Mitchell; H. Van Assen; S. Ordas; J. Reiber; M. Sonka

doi:10.1007/0-387-28831-7_29

3D active shape and appearance models in cardiac image analysis

B. Lelieveld, A. F Frangi, S. Mitchell, H. Van Assen, S. Ordas, J. Reiber, M. Sonka

Research output: Chapter in Book/Conference proceeding › Chapter › peer-review

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.

Original language	English
Title of host publication	Handbook of Mathematical Models in Computer Vision
Publisher	Springer Nature
Pages	471-485
Number of pages	15
ISBN (Print)	0387263713, 9780387263717
DOIs	https://doi.org/10.1007/0-387-28831-7_29
Publication status	Published - 2006

Keywords

active appearance models
active shape models
cardiac segmentation
landmarking
magnetic resonance
multi-view models
point distribution models
Statistical shape models

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10.1007/0-387-28831-7_29

Cite this

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3D active shape and appearance models in cardiac image analysis

Abstract

Keywords

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