Watershed segmentation of medical volumes with paint drop marking
We present an improvement of the classical marker-controlled watershed approach in the direction of a better exploitation of user-defined markers. The combined action of a partial flooding and paint drops falling downwards on the gray value relief from marker locations, leads to a robust and meaning...
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creator | Signoroni, A Zanetti, G Grazioli, R Leonardi, R |
description | We present an improvement of the classical marker-controlled watershed approach in the direction of a better exploitation of user-defined markers. The combined action of a partial flooding and paint drops falling downwards on the gray value relief from marker locations, leads to a robust and meaningful identification of the candidate basins, which is a prerequisite for an accurate segmentation. This is useful for user-controlled segmentation of biomedical volumes in that it facilitates robust identification of complex 3D structures with inhomogeneous borders. To this end, a visual interactive segmentation system has been implemented where different user-data interaction tools can be selected by physicians to generate machine-understandable knowledge in a quick and compact way. Experimental results on selected use-cases demonstrate the strengths of the proposed solutions. |
doi_str_mv | 10.1109/ICIP.2010.5652565 |
format | Conference Proceeding |
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The combined action of a partial flooding and paint drops falling downwards on the gray value relief from marker locations, leads to a robust and meaningful identification of the candidate basins, which is a prerequisite for an accurate segmentation. This is useful for user-controlled segmentation of biomedical volumes in that it facilitates robust identification of complex 3D structures with inhomogeneous borders. To this end, a visual interactive segmentation system has been implemented where different user-data interaction tools can be selected by physicians to generate machine-understandable knowledge in a quick and compact way. 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The combined action of a partial flooding and paint drops falling downwards on the gray value relief from marker locations, leads to a robust and meaningful identification of the candidate basins, which is a prerequisite for an accurate segmentation. This is useful for user-controlled segmentation of biomedical volumes in that it facilitates robust identification of complex 3D structures with inhomogeneous borders. To this end, a visual interactive segmentation system has been implemented where different user-data interaction tools can be selected by physicians to generate machine-understandable knowledge in a quick and compact way. Experimental results on selected use-cases demonstrate the strengths of the proposed solutions.</description><subject>3D Biomedical Datasets</subject><subject>Biomedical imaging</subject><subject>Image segmentation</subject><subject>Interactive systems</subject><subject>Paints</subject><subject>Robustness</subject><subject>Three dimensional displays</subject><subject>Transforms</subject><subject>Visualization</subject><subject>Watershed</subject><issn>1522-4880</issn><issn>2381-8549</issn><isbn>9781424479924</isbn><isbn>1424479924</isbn><isbn>9781424479948</isbn><isbn>1424479940</isbn><isbn>1424479932</isbn><isbn>9781424479931</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVUMtOwzAQNC-JUPoBiIt_IGX9SuxjFVGIVAkOII6Vk6xbQ16KDYi_JxK9cFiNRjOaGS0hNwxWjIG5K4vyecVhpipTfL4TsjS5ZpJLmRsj9SlJuNAs1Uqas38al-ckYYrzVGoNl-QqhHeAOUuwhKzfbMQpHLChAfcd9tFGP_R0cLTDxte2pV9D-9lhoN8-HuhofR9pMw0j7ez04fv9Nblwtg24POKCvG7uX4rHdPv0UBbrbeo50zHVCJxnThhhTS2hctBI5xpAMa9SWVUrBbrOmRRgbC0xdy7D2akqhgorLhbk9i_XI-JunPzc_7M7fkP8AsLNTyY</recordid><startdate>20100101</startdate><enddate>20100101</enddate><creator>Signoroni, A</creator><creator>Zanetti, G</creator><creator>Grazioli, R</creator><creator>Leonardi, R</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20100101</creationdate><title>Watershed segmentation of medical volumes with paint drop marking</title><author>Signoroni, A ; Zanetti, G ; Grazioli, R ; Leonardi, R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i218t-8e0226f393a9c40bf0d4ffd0e348856bc5508c714309ac4e7ff6e9c45b1e5eb23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>3D Biomedical Datasets</topic><topic>Biomedical imaging</topic><topic>Image segmentation</topic><topic>Interactive systems</topic><topic>Paints</topic><topic>Robustness</topic><topic>Three dimensional displays</topic><topic>Transforms</topic><topic>Visualization</topic><topic>Watershed</topic><toplevel>online_resources</toplevel><creatorcontrib>Signoroni, A</creatorcontrib><creatorcontrib>Zanetti, G</creatorcontrib><creatorcontrib>Grazioli, R</creatorcontrib><creatorcontrib>Leonardi, 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>Signoroni, A</au><au>Zanetti, G</au><au>Grazioli, R</au><au>Leonardi, R</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Watershed segmentation of medical volumes with paint drop marking</atitle><btitle>2010 IEEE International Conference on Image Processing</btitle><stitle>ICIP</stitle><date>2010-01-01</date><risdate>2010</risdate><spage>2561</spage><epage>2564</epage><pages>2561-2564</pages><issn>1522-4880</issn><eissn>2381-8549</eissn><isbn>9781424479924</isbn><isbn>1424479924</isbn><eisbn>9781424479948</eisbn><eisbn>1424479940</eisbn><eisbn>1424479932</eisbn><eisbn>9781424479931</eisbn><abstract>We present an improvement of the classical marker-controlled watershed approach in the direction of a better exploitation of user-defined markers. The combined action of a partial flooding and paint drops falling downwards on the gray value relief from marker locations, leads to a robust and meaningful identification of the candidate basins, which is a prerequisite for an accurate segmentation. This is useful for user-controlled segmentation of biomedical volumes in that it facilitates robust identification of complex 3D structures with inhomogeneous borders. To this end, a visual interactive segmentation system has been implemented where different user-data interaction tools can be selected by physicians to generate machine-understandable knowledge in a quick and compact way. Experimental results on selected use-cases demonstrate the strengths of the proposed solutions.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.2010.5652565</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | 3D Biomedical Datasets Biomedical imaging Image segmentation Interactive systems Paints Robustness Three dimensional displays Transforms Visualization Watershed |
title | Watershed segmentation of medical volumes with paint drop marking |
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