Markovian level set : a new method for boundary detection from echocardiographic images
Computer-based boundary detection in Echocardiographic Images is a challenging problem, due to the large amount of noise and the poor contrast presented. In this paper, a Markovian level set method is proposed for boundary detection in long-axis echocardiographic images. It combines MRF model which...
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sg-ntu-dr.10356-905812020-03-07T13:24:46Z Markovian level set : a new method for boundary detection from echocardiographic images Cheng, Jierong Foo, Say Wei School of Electrical and Electronic Engineering IEEE International Conference on Acoustics, Speech and Signal Processing (2006 : Toulouse, France) Computer-based boundary detection in Echocardiographic Images is a challenging problem, due to the large amount of noise and the poor contrast presented. In this paper, a Markovian level set method is proposed for boundary detection in long-axis echocardiographic images. It combines MRF model which makes use of local statistics with level set method which handles topological changes, to ensure that the resulting boundary is continuous and smooth. Experimental results show that high accuracy is achieved with the proposed method. Published version 2009-07-03T03:11:55Z 2019-12-06T17:50:16Z 2009-07-03T03:11:55Z 2019-12-06T17:50:16Z 2006 2006 Conference Paper Cheng, J., & Foo, S. W. (2006). Markovian level set : a new method for boundary detection from echocardiographic images. International Conference on Acoustics, Speech, and Signal Processing 2006 (pp.1132-1135). https://hdl.handle.net/10356/90581 http://hdl.handle.net/10220/4675 10.1109/ICASSP.2006.1660547 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 |
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Computer-based boundary detection in Echocardiographic Images is a challenging problem, due to the large amount of noise and the poor contrast presented. In this paper, a Markovian level set method is proposed for boundary detection in long-axis echocardiographic images. It combines MRF model which makes use of local statistics with level set method which handles topological changes, to ensure that the resulting boundary is continuous and smooth. Experimental results show that high accuracy is achieved with the proposed method. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Cheng, Jierong Foo, Say Wei |
format |
Conference or Workshop Item |
author |
Cheng, Jierong Foo, Say Wei |
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Cheng, Jierong Foo, Say Wei Markovian level set : a new method for boundary detection from echocardiographic images |
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Cheng, Jierong |
title |
Markovian level set : a new method for boundary detection from echocardiographic images |
title_short |
Markovian level set : a new method for boundary detection from echocardiographic images |
title_full |
Markovian level set : a new method for boundary detection from echocardiographic images |
title_fullStr |
Markovian level set : a new method for boundary detection from echocardiographic images |
title_full_unstemmed |
Markovian level set : a new method for boundary detection from echocardiographic images |
title_sort |
markovian level set : a new method for boundary detection from echocardiographic images |
publishDate |
2009 |
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https://hdl.handle.net/10356/90581 http://hdl.handle.net/10220/4675 |
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1681040713438986240 |