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:	Cheng, Jierong, Foo, Say Wei
Other Authors:	IEEE International Symposium on Circuits and Systems (2006 : Island of Kos, Greece)
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Online Access:	https://hdl.handle.net/10356/91501 http://hdl.handle.net/10220/4621
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-915012020-03-07T13:24:46Z Markovian level set for echocardiographic image segmentation Cheng, Jierong Foo, Say Wei IEEE International Symposium on Circuits and Systems (2006 : Island of Kos, Greece) 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. Published version 2009-06-09T07:43:54Z 2019-12-06T18:06:48Z 2009-06-09T07:43:54Z 2019-12-06T18:06:48Z 2006 2006 Conference Paper Cheng, J.; & Foo, S. W. (2006). Markovian level set for echocardiographic image segmentation. IEEE International Symposium on Circuits and Systems. (pp. 5567-5570). https://hdl.handle.net/10356/91501 http://hdl.handle.net/10220/4621 10.1109/ISCAS.2006.1693896 en © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site. 4 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
description	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.
author2	IEEE International Symposium on Circuits and Systems (2006 : Island of Kos, Greece)
author_facet	IEEE International Symposium on Circuits and Systems (2006 : Island of Kos, Greece) Cheng, Jierong Foo, Say Wei
format	Conference or Workshop Item
author	Cheng, Jierong Foo, Say Wei
spellingShingle	Cheng, Jierong Foo, Say Wei Markovian level set for echocardiographic image segmentation
author_sort	Cheng, Jierong
title	Markovian level set for echocardiographic image segmentation
title_short	Markovian level set for echocardiographic image segmentation
title_full	Markovian level set for echocardiographic image segmentation
title_fullStr	Markovian level set for echocardiographic image segmentation
title_full_unstemmed	Markovian level set for echocardiographic image segmentation
title_sort	markovian level set for echocardiographic image segmentation
publishDate	2009
url	https://hdl.handle.net/10356/91501 http://hdl.handle.net/10220/4621
_version_	1681039340168282112

Markovian level set for echocardiographic image segmentation

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