3D Active Shape and Appearance Models in Cardiac Image Analysis

B Legeveldt; A Frangi; S Mitchell; H van Assen; S Ordas; J Reiber; M Sonka

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

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Book chapter

3D Active Shape and Appearance Models in Cardiac Image Analysis

B Legeveldt, A Frangi, S Mitchell, H van Assen, S Ordas, J Reiber and M Sonka

Handbook of Mathematical Models in Computer Vision, pp.471-485

Springer US

2006

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

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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.

Magnetic Resonance

active appearance models

active shape models

cardiac segmentation

landmarking

multi-view models

point distribution models

Statistical shape models

Details

Title: Subtitle: 3D Active Shape and Appearance Models in Cardiac Image Analysis
Creators: B Legeveldt
A Frangi
S Mitchell
H van Assen
S Ordas
J Reiber
M Sonka
Resource Type: Book chapter
Publication Details: Handbook of Mathematical Models in Computer Vision, pp.471-485
DOI: 10.1007/0-387-28831-7_29
Publisher: Springer US; Boston, MA
Language: English
Date published: 2006
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
Record Identifier: 9984186706002771

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