Echocardiographic image sequence segmentation by multiscale directional snake
In this paper, a new algorithm named as 'multiscale directional snake' is proposed for segmentation of echocardiographic images by computer. The method makes use of morphological operations to locate the left ventricular center point and region of interest. In addition, a multiscale direct...
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| creator | Cheng, J. Foo, S.W. Krishnan, S.M. |
| description | In this paper, a new algorithm named as 'multiscale directional snake' is proposed for segmentation of echocardiographic images by computer. The method makes use of morphological operations to locate the left ventricular center point and region of interest. In addition, a multiscale directional edge map is introduced to improve the performance of snake. The snake is confined within the region of interest during deformation and does not require initialization like traditional snake. Results show that the boundaries obtained using the proposed method fit very closely to the manually traced boundaries. |
| doi_str_mv | 10.1109/ISSPIT.2004.1433680 |
| format | Conference Proceeding |
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The method makes use of morphological operations to locate the left ventricular center point and region of interest. In addition, a multiscale directional edge map is introduced to improve the performance of snake. The snake is confined within the region of interest during deformation and does not require initialization like traditional snake. Results show that the boundaries obtained using the proposed method fit very closely to the manually traced boundaries.</description><identifier>ISBN: 0780386892</identifier><identifier>ISBN: 9780780386891</identifier><identifier>DOI: 10.1109/ISSPIT.2004.1433680</identifier><language>eng</language><publisher>IEEE</publisher><subject>Active contours ; Heart ; Image edge detection ; Image processing ; Image segmentation ; Image sequences ; Morphological operations ; Pixel ; Smoothing methods ; Ultrasonic imaging</subject><ispartof>Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, 2004, 2004, p.26-29</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1433680$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,4036,4037,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1433680$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Cheng, J.</creatorcontrib><creatorcontrib>Foo, S.W.</creatorcontrib><creatorcontrib>Krishnan, S.M.</creatorcontrib><title>Echocardiographic image sequence segmentation by multiscale directional snake</title><title>Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, 2004</title><addtitle>ISSPIT</addtitle><description>In this paper, a new algorithm named as 'multiscale directional snake' is proposed for segmentation of echocardiographic images by computer. The method makes use of morphological operations to locate the left ventricular center point and region of interest. In addition, a multiscale directional edge map is introduced to improve the performance of snake. The snake is confined within the region of interest during deformation and does not require initialization like traditional snake. Results show that the boundaries obtained using the proposed method fit very closely to the manually traced boundaries.</description><subject>Active contours</subject><subject>Heart</subject><subject>Image edge detection</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Image sequences</subject><subject>Morphological operations</subject><subject>Pixel</subject><subject>Smoothing methods</subject><subject>Ultrasonic imaging</subject><isbn>0780386892</isbn><isbn>9780780386891</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj09PAjEUxJsYExX5BFz6BXZ97Svd9mgI6iYYTcAzKd3Xpbp_cLsc-PZCZC4z-R0mM4zNBORCgH0q1-vPcpNLAJULhagN3LAHKAyg0cbKOzZN6RvOQqvniPfsfen3vXdDFft6cId99Dy2riae6PdInb-EuqVudGPsO7478fbYjDF51xCv4kD-wl3DU-d-6JHdBtckml59wr5elpvFW7b6eC0Xz6ssSgljVtkCTWGlNz4EbW0VAmohqkIGtUMEq0AZ57QG8CooaUwhhVMUtLdAOMcJm_33RiLaHobz5OG0vT7GP5FtTWc</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Cheng, J.</creator><creator>Foo, S.W.</creator><creator>Krishnan, S.M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2004</creationdate><title>Echocardiographic image sequence segmentation by multiscale directional snake</title><author>Cheng, J. ; Foo, S.W. ; Krishnan, S.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i220t-d9738792c8cff699dff3611d72f4b33094048aa6600c4f4288721a4ef6c90e353</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Active contours</topic><topic>Heart</topic><topic>Image edge detection</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>Image sequences</topic><topic>Morphological operations</topic><topic>Pixel</topic><topic>Smoothing methods</topic><topic>Ultrasonic imaging</topic><toplevel>online_resources</toplevel><creatorcontrib>Cheng, J.</creatorcontrib><creatorcontrib>Foo, S.W.</creatorcontrib><creatorcontrib>Krishnan, S.M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cheng, J.</au><au>Foo, S.W.</au><au>Krishnan, S.M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Echocardiographic image sequence segmentation by multiscale directional snake</atitle><btitle>Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, 2004</btitle><stitle>ISSPIT</stitle><date>2004</date><risdate>2004</risdate><spage>26</spage><epage>29</epage><pages>26-29</pages><isbn>0780386892</isbn><isbn>9780780386891</isbn><abstract>In this paper, a new algorithm named as 'multiscale directional snake' is proposed for segmentation of echocardiographic images by computer. The method makes use of morphological operations to locate the left ventricular center point and region of interest. In addition, a multiscale directional edge map is introduced to improve the performance of snake. The snake is confined within the region of interest during deformation and does not require initialization like traditional snake. Results show that the boundaries obtained using the proposed method fit very closely to the manually traced boundaries.</abstract><pub>IEEE</pub><doi>10.1109/ISSPIT.2004.1433680</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Active contours Heart Image edge detection Image processing Image segmentation Image sequences Morphological operations Pixel Smoothing methods Ultrasonic imaging |
| title | Echocardiographic image sequence segmentation by multiscale directional snake |
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