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Proceedings Paper

Cardiac image analysis from 2D sequences based on nonlinear diffusion and curve evolution
Author(s): Xu Liu; Wende Shou; Xianhong Shu
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Paper Abstract

Automatic segmentation of echocardiographic sequences can decrease the processing time required for calculation of LV volumes and systolic function parameters, reducing at the same time the intra- and inter-observer variability. This paper proposed an approach to enhance quality of noisy echocardiographic images, and gain robust segmentation of cardiac structure during motion cycle. The approach is composed of preprocessing with PDE-based nonlinear diffusion filtering, followed by endocardial border segmentation using curve evolution algorithm. Initial experiment show encouraging results on analyzing echocardiographic image sequences based on the framework of PDE.

Paper Details

Date Published: 30 August 2002
PDF: 6 pages
Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481600
Show Author Affiliations
Xu Liu, Shanghai Jiaotong Univ. (China)
Wende Shou, Shanghai Jiaotong Univ. (China)
Xianhong Shu, Shanghai Insitute of Cardiovascular Diseases/Zhongshan Hospital (China)

Published in SPIE Proceedings Vol. 4925:
Electronic Imaging and Multimedia Technology III
LiWei Zhou; Chung-Sheng Li; Yoshiji Suzuki, Editor(s)

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