Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/91501
Title: Markovian level set for echocardiographic image segmentation
Authors: Cheng, Jierong
Foo, Say Wei
Issue Date: 2006
Source: Cheng, J.; & Foo, S. W. (2006). Markovian level set for echocardiographic image segmentation. IEEE International Symposium on Circuits and Systems. (pp. 5567-5570).
Abstract: Owing to the large amount of speckle noise and ill-defined edges present in echocardiographic images, computerbased boundary detection of the left ventricle (LV) has proved to be a challenging problem. In this paper, a Markovian level set method for boundary detection in long-axis echocardiographic images is proposed. It combines MRF model which makes use of local statistics with level set method which handles topological changes, to detect a continuous and smooth LV boundary. Experimental results show that high accuracy is achieved with the proposed method. The experimental results are also compared with two related MRF-based methods to demonstrate its superiority.
URI: https://hdl.handle.net/10356/91501
http://hdl.handle.net/10220/4621
DOI: http://dx.doi.org/10.1109/ISCAS.2006.1693896
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metadata.item.grantfulltext: open
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