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Region tracking in ventricle MR sequence based on hierarchical analysis
We propose a strategy to track blood volume in cine MR image sequences, based on the multiscale watershed algorithm that provides an indexed hierarchy of each frame. We track a class in a sequence, obtained by user interaction without much effort, and refined by hierarchical addition and suppression...
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creator | De Carvalho, M.A.G. Couprie, M. De Alencar Lotufo, R. |
description | We propose a strategy to track blood volume in cine MR image sequences, based on the multiscale watershed algorithm that provides an indexed hierarchy of each frame. We track a class in a sequence, obtained by user interaction without much effort, and refined by hierarchical addition and suppression operations. A class is a video object in each frame that represents the region of interest. |
doi_str_mv | 10.1109/SIBGRA.2002.1167182 |
format | conference_proceeding |
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We track a class in a sequence, obtained by user interaction without much effort, and refined by hierarchical addition and suppression operations. A class is a video object in each frame that represents the region of interest.</description><identifier>ISSN: 1530-1834</identifier><identifier>ISBN: 076951846X</identifier><identifier>ISBN: 9780769518466</identifier><identifier>EISSN: 2377-5416</identifier><identifier>DOI: 10.1109/SIBGRA.2002.1167182</identifier><language>eng</language><publisher>IEEE</publisher><subject>Blood ; Euclidean distance ; Gray-scale ; Image segmentation ; Image sequences ; Informatics ; Lakes ; Robustness ; Shape measurement ; Target tracking</subject><ispartof>Proceedings. 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XV Brazilian Symposium on Computer Graphics and Image Processing</title><addtitle>SIBGRA</addtitle><description>We propose a strategy to track blood volume in cine MR image sequences, based on the multiscale watershed algorithm that provides an indexed hierarchy of each frame. We track a class in a sequence, obtained by user interaction without much effort, and refined by hierarchical addition and suppression operations. A class is a video object in each frame that represents the region of interest.</description><subject>Blood</subject><subject>Euclidean distance</subject><subject>Gray-scale</subject><subject>Image segmentation</subject><subject>Image sequences</subject><subject>Informatics</subject><subject>Lakes</subject><subject>Robustness</subject><subject>Shape measurement</subject><subject>Target tracking</subject><issn>1530-1834</issn><issn>2377-5416</issn><isbn>076951846X</isbn><isbn>9780769518466</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2002</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tKw0AYhQcvYFt9gm7mBVLnflnWorFQEWIX7sqfyZ92NEadiULf3oBdHTh8HL5DyJyzBefM376s78pquRCMibEwljtxRiZCWltoxc05mTJrvOZOmdcLMuFasoI7qa7INOc3xrj3xk1IWeE-fvZ0SBDeY7-nsae_2A8phg7pU0Uzfv9gH5DWkLGhI3qImCCFQwzQUeihO-aYr8llC13Gm1POyPbhfrt6LDbP5Xq13BTRs6HQrQyjnLVtULXjKkjp20Zg3TYqaDQhaIVe6lo5i7VGZa0BAGFBS2h0kDMy_5-NiLj7SvED0nF3-i__AEkNTo4</recordid><startdate>2002</startdate><enddate>2002</enddate><creator>De Carvalho, M.A.G.</creator><creator>Couprie, M.</creator><creator>De Alencar Lotufo, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2002</creationdate><title>Region tracking in ventricle MR sequence based on hierarchical analysis</title><author>De Carvalho, M.A.G. ; Couprie, M. ; De Alencar Lotufo, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-5f3c41677fc4b814c339fd2ebfd4c5e6cc54e935b487eb5e4776aaa27a53ad5c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Blood</topic><topic>Euclidean distance</topic><topic>Gray-scale</topic><topic>Image segmentation</topic><topic>Image sequences</topic><topic>Informatics</topic><topic>Lakes</topic><topic>Robustness</topic><topic>Shape measurement</topic><topic>Target tracking</topic><toplevel>online_resources</toplevel><creatorcontrib>De Carvalho, M.A.G.</creatorcontrib><creatorcontrib>Couprie, M.</creatorcontrib><creatorcontrib>De Alencar Lotufo, R.</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 Xplore</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>De Carvalho, M.A.G.</au><au>Couprie, M.</au><au>De Alencar Lotufo, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Region tracking in ventricle MR sequence based on hierarchical analysis</atitle><btitle>Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing</btitle><stitle>SIBGRA</stitle><date>2002</date><risdate>2002</risdate><spage>410</spage><pages>410-</pages><issn>1530-1834</issn><eissn>2377-5416</eissn><isbn>076951846X</isbn><isbn>9780769518466</isbn><abstract>We propose a strategy to track blood volume in cine MR image sequences, based on the multiscale watershed algorithm that provides an indexed hierarchy of each frame. We track a class in a sequence, obtained by user interaction without much effort, and refined by hierarchical addition and suppression operations. A class is a video object in each frame that represents the region of interest.</abstract><pub>IEEE</pub><doi>10.1109/SIBGRA.2002.1167182</doi></addata></record> |
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ispartof | Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing, 2002, p.410 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Blood Euclidean distance Gray-scale Image segmentation Image sequences Informatics Lakes Robustness Shape measurement Target tracking |
title | Region tracking in ventricle MR sequence based on hierarchical analysis |
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