Watershed-presegmented snake for boundary detection and tracking of left ventricle in echocardiographic images
In this paper, an automated method of boundary detection of the left ventricle (LV) is proposed. The method uses a watershed transform and morphological operation to locate the region containing the LV, then performs snake deformation with a multiscale directional edge map for the detection of the e...
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| Veröffentlicht in: | IEEE journal of biomedical and health informatics 2006-04, Vol.10 (2), p.414-416 |
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| creator | Jierong Cheng Say Wei Foo Krishnan, S.M. |
| description | In this paper, an automated method of boundary detection of the left ventricle (LV) is proposed. The method uses a watershed transform and morphological operation to locate the region containing the LV, then performs snake deformation with a multiscale directional edge map for the detection of the endocardial boundary of the LV |
| doi_str_mv | 10.1109/TITB.2005.859887 |
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(IEEE) 2006</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c480t-cc7b69ac3d40044024a5fd657410a4556c886218c8bfc20f6b42ddde37a275a43</citedby><cites>FETCH-LOGICAL-c480t-cc7b69ac3d40044024a5fd657410a4556c886218c8bfc20f6b42ddde37a275a43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1613968$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1613968$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16617631$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jierong Cheng</creatorcontrib><creatorcontrib>Say Wei Foo</creatorcontrib><creatorcontrib>Krishnan, S.M.</creatorcontrib><title>Watershed-presegmented snake for boundary detection and tracking of left ventricle in echocardiographic images</title><title>IEEE journal of biomedical and health informatics</title><addtitle>TITB</addtitle><addtitle>IEEE Trans Inf Technol Biomed</addtitle><description>In this paper, an automated method of boundary detection of the left ventricle (LV) is proposed. The method uses a watershed transform and morphological operation to locate the region containing the LV, then performs snake deformation with a multiscale directional edge map for the detection of the endocardial boundary of the LV</description><subject>Algorithms</subject><subject>Artificial Intelligence</subject><subject>Boundary detection</subject><subject>Cardiac disease</subject><subject>echocardiographic images</subject><subject>Echocardiography</subject><subject>Echocardiography - methods</subject><subject>Heart Ventricles - diagnostic imaging</subject><subject>Humans</subject><subject>Image edge detection</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Image segmentation</subject><subject>Information Storage and Retrieval - methods</subject><subject>Kernel</subject><subject>morphological operation</subject><subject>Morphological operations</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Phase detection</subject><subject>Pixel</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Smoothing methods</subject><subject>snake</subject><subject>Two dimensional displays</subject><subject>Ventricular Dysfunction, Left - diagnostic imaging</subject><issn>1089-7771</issn><issn>2168-2194</issn><issn>1558-0032</issn><issn>2168-2208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNqFksuLFDEQxoMo7kPvgiDBg556rKTz6qMuPhYWvIx4bNJJ9Ux2e5Ix6V7Y_94MM6B4cE9VUL_vg6r6CHnFYMUYdB_W1-tPKw4gV0Z2xugn5JxJaRqAlj-tPZiu0VqzM3JRyi0AE5K1z8kZU4pp1bJzEn_aGXPZom_2GQtudhhn9LREe4d0TJkOaYne5gfqcUY3hxSpjZ7O2bq7EDc0jXTCcab3VZiDm5CGSNFtk7PZh7TJdr8Njoad3WB5QZ6Ndir48lQvyY8vn9dX35qb71-vrz7eNE4YmBvn9KA661ovAIQALqwcvZJaMLBCSuWMUZwZZ4bRcRjVILj3HlttuZZWtJfk_dF3n9OvBcvc70JxOE02YlpKb6pTB7w1lXz3X1JpIxXA4yA3DHTH5aMg6-oGXPEKvv0HvE1LjvUuvVFSaVDdwQ2OkMuplIxjv8_1lvmhZ9AfQtAfQtAfQtAfQ1Alb06-y7BD_0dw-noFXh-BgIh_jVnbKdP-BpdEtek</recordid><startdate>20060401</startdate><enddate>20060401</enddate><creator>Jierong Cheng</creator><creator>Say Wei Foo</creator><creator>Krishnan, S.M.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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methods</topic><topic>Heart Ventricles - diagnostic imaging</topic><topic>Humans</topic><topic>Image edge detection</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Image segmentation</topic><topic>Information Storage and Retrieval - methods</topic><topic>Kernel</topic><topic>morphological operation</topic><topic>Morphological operations</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Phase detection</topic><topic>Pixel</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Smoothing methods</topic><topic>snake</topic><topic>Two dimensional displays</topic><topic>Ventricular Dysfunction, Left - diagnostic imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jierong Cheng</creatorcontrib><creatorcontrib>Say Wei Foo</creatorcontrib><creatorcontrib>Krishnan, S.M.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - 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The method uses a watershed transform and morphological operation to locate the region containing the LV, then performs snake deformation with a multiscale directional edge map for the detection of the endocardial boundary of the LV</abstract><cop>United States</cop><pub>IEEE</pub><pmid>16617631</pmid><doi>10.1109/TITB.2005.859887</doi><tpages>3</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | IEEE journal of biomedical and health informatics, 2006-04, Vol.10 (2), p.414-416 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Artificial Intelligence Boundary detection Cardiac disease echocardiographic images Echocardiography Echocardiography - methods Heart Ventricles - diagnostic imaging Humans Image edge detection Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image segmentation Information Storage and Retrieval - methods Kernel morphological operation Morphological operations Pattern Recognition, Automated - methods Phase detection Pixel Reproducibility of Results Sensitivity and Specificity Smoothing methods snake Two dimensional displays Ventricular Dysfunction, Left - diagnostic imaging |
| title | Watershed-presegmented snake for boundary detection and tracking of left ventricle in echocardiographic images |
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