30 August 2002 Cardiac image analysis from 2D sequences based on nonlinear diffusion and curve evolution
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Proceedings Volume 4925, Electronic Imaging and Multimedia Technology III; (2002); doi: 10.1117/12.481600
Event: Photonics Asia, 2002, Shanghai, China
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.
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Xu Liu, Wende Shou, Xianhong Shu, "Cardiac image analysis from 2D sequences based on nonlinear diffusion and curve evolution", Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481600; https://doi.org/10.1117/12.481600
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KEYWORDS
Image segmentation

Diffusion

Nonlinear filtering

Anisotropic diffusion

Image analysis

Image processing

Ultrasonography

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