Model-based boundary detection in echocardiography using dynamic programming technique

LiXin Dong; Gabriel Pelle; Philip Brun; Michael A. Unser

doi:10.1117/12.45215

1 June 1991 Model-based boundary detection in echocardiography using dynamic programming technique

LiXin Dong, Gabriel Pelle, Philip Brun, Michael A. Unser

Proceedings Volume 1445, Medical Imaging V: Image Processing; (1991) https://doi.org/10.1117/12.45215
Event: Medical Imaging '91, 1991, San Jose, CA, United States

Abstract

An automatic approach is proposed in this paper for the detection of left ventricular cavity boundaries from two dimensional echocardiograms. This object-oriented detection approach extracts the contour in exploring the information at different levels: local intensity information and geometrical features of the contour. A contour residual energy model is set up for this purpose and the geometrical features of the left ventricular cavity are introduced into contour detection through this model. The minimization of the contour residual energy can identify the cavity contours in very noisy environment.

Citation Download Citation

LiXin Dong, Gabriel Pelle, Philip Brun, and Michael A. Unser "Model-based boundary detection in echocardiography using dynamic programming technique", Proc. SPIE 1445, Medical Imaging V: Image Processing, (1 June 1991); https://doi.org/10.1117/12.45215

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