Automatic detection of region of interest and center point of left ventricle using watershed segmentation

In the detection of the boundary of the left ventricle from echocardiographic images, the crucial step is to determine the region of interest (ROI) or the center point (CP) of the left ventricle. In this paper, a new algorithm is proposed for automatic detection of the ROI and CP of the left vent...

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Main Authors:	Krishnan, Shankar M., Cheng, Jierong, Foo, Say Wei
Other Authors:	IEEE International Symposium on Circuits and Systems (2005 : Kobe, Japan)
Format:	Conference or Workshop Item
Language:	English
Published:	2009
Subjects:	DRNTU::Engineering::Electrical and electronic engineering
Online Access:	https://hdl.handle.net/10356/90936 http://hdl.handle.net/10220/5962
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Institution:	Nanyang Technological University
Language:	English

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spelling	sg-ntu-dr.10356-909362020-03-07T13:24:46Z Automatic detection of region of interest and center point of left ventricle using watershed segmentation Krishnan, Shankar M. Cheng, Jierong Foo, Say Wei IEEE International Symposium on Circuits and Systems (2005 : Kobe, Japan) DRNTU::Engineering::Electrical and electronic engineering In the detection of the boundary of the left ventricle from echocardiographic images, the crucial step is to determine the region of interest (ROI) or the center point (CP) of the left ventricle. In this paper, a new algorithm is proposed for automatic detection of the ROI and CP of the left ventricle from echocardiographic images. The method makes use of morphological operations and watershed segmentation. No prior assumption of the approximate location is required and no human intervention is necessary for the proposed approach hence making it most suitable for automatic operation. Accepted version 2009-07-31T06:44:17Z 2019-12-06T17:56:47Z 2009-07-31T06:44:17Z 2019-12-06T17:56:47Z 2005 2005 Conference Paper Cheng, J., Foo, S. W., & Shankar, M. K. (2005). Automatic detection of region of interest and center point of left ventricle using watershed segmentation. IEEE International Symposium on Circuits and Systems, (pp. 149-151). https://hdl.handle.net/10356/90936 http://hdl.handle.net/10220/5962 10.1109/ISCAS.2005.1464546 en IEEE International Symposium on Circuits and Systems © 2005 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. 3 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
country	Singapore
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Electrical and electronic engineering
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering Krishnan, Shankar M. Cheng, Jierong Foo, Say Wei Automatic detection of region of interest and center point of left ventricle using watershed segmentation
description	In the detection of the boundary of the left ventricle from echocardiographic images, the crucial step is to determine the region of interest (ROI) or the center point (CP) of the left ventricle. In this paper, a new algorithm is proposed for automatic detection of the ROI and CP of the left ventricle from echocardiographic images. The method makes use of morphological operations and watershed segmentation. No prior assumption of the approximate location is required and no human intervention is necessary for the proposed approach hence making it most suitable for automatic operation.
author2	IEEE International Symposium on Circuits and Systems (2005 : Kobe, Japan)
author_facet	IEEE International Symposium on Circuits and Systems (2005 : Kobe, Japan) Krishnan, Shankar M. Cheng, Jierong Foo, Say Wei
format	Conference or Workshop Item
author	Krishnan, Shankar M. Cheng, Jierong Foo, Say Wei
author_sort	Krishnan, Shankar M.
title	Automatic detection of region of interest and center point of left ventricle using watershed segmentation
title_short	Automatic detection of region of interest and center point of left ventricle using watershed segmentation
title_full	Automatic detection of region of interest and center point of left ventricle using watershed segmentation
title_fullStr	Automatic detection of region of interest and center point of left ventricle using watershed segmentation
title_full_unstemmed	Automatic detection of region of interest and center point of left ventricle using watershed segmentation
title_sort	automatic detection of region of interest and center point of left ventricle using watershed segmentation
publishDate	2009
url	https://hdl.handle.net/10356/90936 http://hdl.handle.net/10220/5962
_version_	1681039195959721984

Automatic detection of region of interest and center point of left ventricle using watershed segmentation

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