Markovian level set for echocardiographic image segmentation
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 echocardiogr...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Online Access: | https://hdl.handle.net/10356/91501 http://hdl.handle.net/10220/4621 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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