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Proceedings Paper

Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography
Author(s): Bruno Vallet; Elsa D. Angelini; Andrew F. Laine
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Paper Abstract

This paper presents a new formulation of a deformable model segmentation in prolate spheroidal coordinates for segmentation of 3D cardiac echocardiography data. The prolate spheroidal coordinate system enables a representation of the segmented surface with descriptors specifically adapted to the "ellipsoidal" shape of the ventricle. A simple data energy term, based on gray-level information, guides the segmentation. The segmentation framework provides a very fast and simple algorithm to evolve an initial ellipsoidal object towards the endocardial surface of the myocardium with near real-time deformations. With near real-time performance, additional constraints on landmark points, can be used interactively to prevent leakage of the surface.

Paper Details

Date Published: 15 March 2006
PDF: 11 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61444A (15 March 2006); doi: 10.1117/12.653692
Show Author Affiliations
Bruno Vallet, Columbia Univ. (United States)
Elsa D. Angelini, CNRS, Ecole Nationale Supérieure des Télécommunications (France)
Andrew F. Laine, Columbia Univ. (United States)


Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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