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Rayleigh segmentation of the endocardium in ultrasound images
In this paper we present the coupled active contours (CAC) model, which is applied to segmentation of the endocardium in ultrasonic images assuming Rayleigh distributed intensities. Comparative experiments, both real and synthetic, with a standard prior model are presented. In the CAC model the prio...
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creator | Hansson, M. Overgaard, N.C. Heyden, A. |
description | In this paper we present the coupled active contours (CAC) model, which is applied to segmentation of the endocardium in ultrasonic images assuming Rayleigh distributed intensities. Comparative experiments, both real and synthetic, with a standard prior model are presented. In the CAC model the prior acts, by affine transformation, on the same image information as the active contour, in addition to the traditional interaction between prior and active contour. By this higher convergence rate and robustness, w.r.t artifacts and poor initialization, is achieved. |
doi_str_mv | 10.1109/ICPR.2008.4761334 |
format | conference_proceeding |
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Comparative experiments, both real and synthetic, with a standard prior model are presented. In the CAC model the prior acts, by affine transformation, on the same image information as the active contour, in addition to the traditional interaction between prior and active contour. 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Comparative experiments, both real and synthetic, with a standard prior model are presented. In the CAC model the prior acts, by affine transformation, on the same image information as the active contour, in addition to the traditional interaction between prior and active contour. By this higher convergence rate and robustness, w.r.t artifacts and poor initialization, is achieved.</description><subject>Active contours</subject><subject>Convergence</subject><subject>Image analysis</subject><subject>Image segmentation</subject><subject>Mathematical model</subject><subject>Mathematics</subject><subject>Robustness</subject><subject>Shape</subject><subject>Speckle</subject><subject>Ultrasonic imaging</subject><issn>1051-4651</issn><issn>2831-7475</issn><isbn>9781424421749</isbn><isbn>1424421748</isbn><isbn>9781424421756</isbn><isbn>1424421756</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVkMtKA0EQRdsXGGM-QNz0D0ys6urXLFzIEDUQUIKuQ0-6JmmZzMg8Fvl7BbNxdRcHzoErxB3CHBHyh2Xxvp4rAD_XziKRPhOz3HnUSmuFzthzMVGeMHPamYt_TOeXYoJgMNPW4LW46fsvAAVk_EQ8rsOx5rTby553B26GMKS2kW0lhz1LbmK7DV1M40GmRo710IW-HZso0yHsuL8VV1Woe56ddio-nxcfxWu2entZFk-rLKEDneVlYKs9MkZjOCpVRlS8ZTIINgJRNERe2ypXXgOyLYMBD5bI2ViCp6m4__MmZt58d7_17rg5PUE_B-JMTQ</recordid><startdate>2008</startdate><enddate>2008</enddate><creator>Hansson, M.</creator><creator>Overgaard, N.C.</creator><creator>Heyden, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2008</creationdate><title>Rayleigh segmentation of the endocardium in ultrasound images</title><author>Hansson, M. ; Overgaard, N.C. ; Heyden, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1704-9bae6481e1d55ed22bd12ece35106d033d533846f928401e6ba508063376db083</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Active contours</topic><topic>Convergence</topic><topic>Image analysis</topic><topic>Image segmentation</topic><topic>Mathematical model</topic><topic>Mathematics</topic><topic>Robustness</topic><topic>Shape</topic><topic>Speckle</topic><topic>Ultrasonic imaging</topic><toplevel>online_resources</toplevel><creatorcontrib>Hansson, M.</creatorcontrib><creatorcontrib>Overgaard, N.C.</creatorcontrib><creatorcontrib>Heyden, A.</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/IET 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>Hansson, M.</au><au>Overgaard, N.C.</au><au>Heyden, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Rayleigh segmentation of the endocardium in ultrasound images</atitle><btitle>2008 19th International Conference on Pattern Recognition</btitle><stitle>ICPR</stitle><date>2008</date><risdate>2008</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>1051-4651</issn><eissn>2831-7475</eissn><isbn>9781424421749</isbn><isbn>1424421748</isbn><eisbn>9781424421756</eisbn><eisbn>1424421756</eisbn><abstract>In this paper we present the coupled active contours (CAC) model, which is applied to segmentation of the endocardium in ultrasonic images assuming Rayleigh distributed intensities. Comparative experiments, both real and synthetic, with a standard prior model are presented. In the CAC model the prior acts, by affine transformation, on the same image information as the active contour, in addition to the traditional interaction between prior and active contour. By this higher convergence rate and robustness, w.r.t artifacts and poor initialization, is achieved.</abstract><pub>IEEE</pub><doi>10.1109/ICPR.2008.4761334</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 Convergence Image analysis Image segmentation Mathematical model Mathematics Robustness Shape Speckle Ultrasonic imaging |
title | Rayleigh segmentation of the endocardium in ultrasound images |
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