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

Articles:

Title:: Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography
Author(s):: Vallet, Bruno
Angelini, Elsa D.
Laine, Andrew F.
Date:: 2006
Type:: Articles
Department:: Biomedical Engineering
Permanent URL:: http://hdl.handle.net/10022/AC:P:9524
Book/Journal Title:: Medical imaging 2006 : Image processing : 13-16 February, 2006, San Diego, California ; Proceedings of SPIE, vol. 6144
Book Author:: Reinhardt, Joseph M.
Publisher:: SPIE
Publisher Location:: Bellingham, Wash.
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
DOI:: 10.1117/12.653692