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Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography

Bruno Vallet; Elsa D. Angelini; Andrew F. Laine

Title:
Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography
Author(s):
Vallet, Bruno
Angelini, Elsa D.
Laine, Andrew F.
Date:
Type:
Articles
Department:
Biomedical Engineering
Permanent URL:
Book/Journal Title:
Medical imaging 2006 : Image processing : 13-16 February, 2006, San Diego, California ; Proceedings of SPIE, vol. 6144
Publisher:
SPIE
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.
Subject(s):
Biomedical engineering
Publisher DOI:
10.1117/12.653692
Item views:
269
Metadata:
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