Robust segmentation of myocardial tissue in ultrasound images
In many ultrasound examinations, an important task is to distinguish between areas of different characteristics, e.g. myocardial tissue and blood. While many studies have reported on exact border determination-which usually requires operator's intervention, this article reports on a reliable, a...
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creator | Adam, D.R. Krips, R. |
description | In many ultrasound examinations, an important task is to distinguish between areas of different characteristics, e.g. myocardial tissue and blood. While many studies have reported on exact border determination-which usually requires operator's intervention, this article reports on a reliable, automatic method for differentiation between blood and tissue in ultrasound images. |
doi_str_mv | 10.1109/IEMBS.1999.802232 |
format | Conference Proceeding |
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While many studies have reported on exact border determination-which usually requires operator's intervention, this article reports on a reliable, automatic method for differentiation between blood and tissue in ultrasound images.</description><subject>Blood</subject><subject>Flowcharts</subject><subject>Heart</subject><subject>Image segmentation</subject><subject>Medical imaging</subject><subject>Myocardium</subject><subject>Robustness</subject><subject>System testing</subject><subject>Tissue</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonic variables measurement</subject><issn>1094-687X</issn><issn>0589-1019</issn><issn>1558-4615</issn><isbn>0780356748</isbn><isbn>9780780356740</isbn><isbn>9780780356757</isbn><isbn>0780356756</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1999</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkD1PwzAYhC0-JGjhB8DkiS3lteM49sAAVYFKRUjQgS1ynNeVURKX2Bn674ko0w13Ot1zhNwwWDAG-n69env6XDCt9UIB5zk_IZesKFQmJCtOyQxKBXkhS6HOJgO0yKQqvy7ILMZvAA5QsEvy8BHqMSYacddhn0zyoafB0e4QrBkab1qafIwjUt_TsU2DiWHsG-o7s8N4Rc6daSNe_-ucbJ9X2-Vrtnl_WS8fN5llUqascRJLpYUuneBGKLBGOKc11qpuuMlBW6dNXSso5MThrLEGnZYTgRLA8zm5O9buh_AzYkxV56PFtjU9hjFWnOUK5F_w9hj0iFjth2nlcKiO7-S_p9lX0A</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Adam, D.R.</creator><creator>Krips, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1999</creationdate><title>Robust segmentation of myocardial tissue in ultrasound images</title><author>Adam, D.R. ; Krips, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c166t-df6e789497f42a480ca4ff99eb8bd2a309cf9abb8056232fcacaef9607884023</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Blood</topic><topic>Flowcharts</topic><topic>Heart</topic><topic>Image segmentation</topic><topic>Medical imaging</topic><topic>Myocardium</topic><topic>Robustness</topic><topic>System testing</topic><topic>Tissue</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonic variables measurement</topic><toplevel>online_resources</toplevel><creatorcontrib>Adam, D.R.</creatorcontrib><creatorcontrib>Krips, R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Adam, D.R.</au><au>Krips, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Robust segmentation of myocardial tissue in ultrasound images</atitle><btitle>Proceedings of the First Joint BMES/EMBS Conference : serving humanity advancing technology, Oct. 13-16, 99, Atlanta, GA, USA</btitle><stitle>IEMBS</stitle><date>1999</date><risdate>1999</risdate><volume>1</volume><spage>187 vol.1</spage><epage>187</epage><pages>187 vol.1-187</pages><issn>1094-687X</issn><issn>0589-1019</issn><eissn>1558-4615</eissn><isbn>0780356748</isbn><isbn>9780780356740</isbn><isbn>9780780356757</isbn><isbn>0780356756</isbn><abstract>In many ultrasound examinations, an important task is to distinguish between areas of different characteristics, e.g. myocardial tissue and blood. While many studies have reported on exact border determination-which usually requires operator's intervention, this article reports on a reliable, automatic method for differentiation between blood and tissue in ultrasound images.</abstract><pub>IEEE</pub><doi>10.1109/IEMBS.1999.802232</doi><tpages>1</tpages></addata></record> |
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ispartof | Proceedings of the First Joint BMES/EMBS Conference : serving humanity advancing technology, Oct. 13-16, 99, Atlanta, GA, USA, 1999, Vol.1, p.187 vol.1-187 |
issn | 1094-687X 0589-1019 1558-4615 |
language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Blood Flowcharts Heart Image segmentation Medical imaging Myocardium Robustness System testing Tissue Ultrasonic imaging Ultrasonic variables measurement |
title | Robust segmentation of myocardial tissue in ultrasound images |
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