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

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

doi:10.1117/12.653692

15 March 2006 Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography

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

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 61444A (2006) https://doi.org/10.1117/12.653692
Event: Medical Imaging, 2006, San Diego, California, United States

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.

Citation Download Citation

Bruno Vallet, Elsa D. Angelini, and Andrew F. Laine "Variational segmentation framework in prolate spheroidal coordinates for 3D real-time echocardiography", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61444A (15 March 2006); https://doi.org/10.1117/12.653692

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available