A region-based active contour method for extraction of breast skin-line in mammograms
In this work, we present a novel region-based active contour technique to extract the breast boundary in mammograms. Skin-line extraction in mammograms is non-trivial due to the presence of noise, intensity inhomogeneities, and scanning artifacts. Also, weak contrast near the skin-line boundary, esp...
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creator | Thiruvenkadam, S Acharyya, M Neeba, N V Jhunjhunwala, P Ranjan, S |
description | In this work, we present a novel region-based active contour technique to extract the breast boundary in mammograms. Skin-line extraction in mammograms is non-trivial due to the presence of noise, intensity inhomogeneities, and scanning artifacts. Also, weak contrast near the skin-line boundary, especially in the case of low-density breasts, poses a lot of difficulty in its extraction. Here, we represent the breast boundary by a smooth, parametric curve. The region based data term of the active contour energy is based on the assumption that in a small neighborhood around the skin boundary, the intensity is piece-wise constant. Further, to achieve a good initial guess, we make use of the assumption that at a large scale, the breast image is binary with a fuzzy boundary. A PDE based energy is employed to get the fuzzy membership function. The smoothness term of the above energy allows us to handle noise/ scanning artifacts in mammograms, and allows easy extraction of a single contour, which is then input to the active contour energy. Our experiments on the MIAS database gave promising results as validated by an experienced radiologist. |
doi_str_mv | 10.1109/ISBI.2010.5490383 |
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Skin-line extraction in mammograms is non-trivial due to the presence of noise, intensity inhomogeneities, and scanning artifacts. Also, weak contrast near the skin-line boundary, especially in the case of low-density breasts, poses a lot of difficulty in its extraction. Here, we represent the breast boundary by a smooth, parametric curve. The region based data term of the active contour energy is based on the assumption that in a small neighborhood around the skin boundary, the intensity is piece-wise constant. Further, to achieve a good initial guess, we make use of the assumption that at a large scale, the breast image is binary with a fuzzy boundary. A PDE based energy is employed to get the fuzzy membership function. The smoothness term of the above energy allows us to handle noise/ scanning artifacts in mammograms, and allows easy extraction of a single contour, which is then input to the active contour energy. Our experiments on the MIAS database gave promising results as validated by an experienced radiologist.</description><identifier>ISSN: 1945-7928</identifier><identifier>ISBN: 9781424441259</identifier><identifier>ISBN: 1424441250</identifier><identifier>EISSN: 1945-8452</identifier><identifier>EISBN: 9781424441266</identifier><identifier>EISBN: 1424441269</identifier><identifier>DOI: 10.1109/ISBI.2010.5490383</identifier><language>eng</language><publisher>IEEE</publisher><subject>Active contours ; Active noise reduction ; Breast ; Breast Skin-line ; Data mining ; Histograms ; Image segmentation ; Large-scale systems ; PDE based fuzzy segmentation ; region-based active contour ; Skin ; Statistics</subject><ispartof>2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010, p.189-192</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5490383$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,781,785,790,791,2059,27930,54925</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5490383$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Thiruvenkadam, S</creatorcontrib><creatorcontrib>Acharyya, M</creatorcontrib><creatorcontrib>Neeba, N V</creatorcontrib><creatorcontrib>Jhunjhunwala, P</creatorcontrib><creatorcontrib>Ranjan, S</creatorcontrib><title>A region-based active contour method for extraction of breast skin-line in mammograms</title><title>2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro</title><addtitle>ISBI</addtitle><description>In this work, we present a novel region-based active contour technique to extract the breast boundary in mammograms. Skin-line extraction in mammograms is non-trivial due to the presence of noise, intensity inhomogeneities, and scanning artifacts. Also, weak contrast near the skin-line boundary, especially in the case of low-density breasts, poses a lot of difficulty in its extraction. Here, we represent the breast boundary by a smooth, parametric curve. The region based data term of the active contour energy is based on the assumption that in a small neighborhood around the skin boundary, the intensity is piece-wise constant. Further, to achieve a good initial guess, we make use of the assumption that at a large scale, the breast image is binary with a fuzzy boundary. A PDE based energy is employed to get the fuzzy membership function. The smoothness term of the above energy allows us to handle noise/ scanning artifacts in mammograms, and allows easy extraction of a single contour, which is then input to the active contour energy. Our experiments on the MIAS database gave promising results as validated by an experienced radiologist.</description><subject>Active contours</subject><subject>Active noise reduction</subject><subject>Breast</subject><subject>Breast Skin-line</subject><subject>Data mining</subject><subject>Histograms</subject><subject>Image segmentation</subject><subject>Large-scale systems</subject><subject>PDE based fuzzy segmentation</subject><subject>region-based active contour</subject><subject>Skin</subject><subject>Statistics</subject><issn>1945-7928</issn><issn>1945-8452</issn><isbn>9781424441259</isbn><isbn>1424441250</isbn><isbn>9781424441266</isbn><isbn>1424441269</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkMtOwzAURM1Loir9AMTGP5DiZ3y9LBWPSpVYQNeV41wXQxMjOyD4e4rIhtmMRmc0iyHkkrM558xer55uVnPBDlEryyTIIzKzBrgSSiku6vqYTLhVugKlxck_pu3pyIwVcE5mpbyygw5Fpc2EbBY04y6mvmpcwZY6P8RPpD71Q_rItMPhJbU0pEzxa8i_NPU0BdpkdGWg5S321T72SGNPO9d1aZddVy7IWXD7grPRp2Rzd_u8fKjWj_er5WJdRW70UDkDYEWjrWiVCU3DgIcavcdQg9Y-eCal8AG556qGxkoTggQB3rYtSPBySq7-diMibt9z7Fz-3o4nyR-4pVcO</recordid><startdate>201004</startdate><enddate>201004</enddate><creator>Thiruvenkadam, S</creator><creator>Acharyya, M</creator><creator>Neeba, N V</creator><creator>Jhunjhunwala, P</creator><creator>Ranjan, S</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201004</creationdate><title>A region-based active contour method for extraction of breast skin-line in mammograms</title><author>Thiruvenkadam, S ; Acharyya, M ; Neeba, N V ; Jhunjhunwala, P ; Ranjan, S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-a78892b592d47fbb081f6eccef6855cfc0332cfe1c1468b937ff3828c9dd838c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Active contours</topic><topic>Active noise reduction</topic><topic>Breast</topic><topic>Breast Skin-line</topic><topic>Data mining</topic><topic>Histograms</topic><topic>Image segmentation</topic><topic>Large-scale systems</topic><topic>PDE based fuzzy segmentation</topic><topic>region-based active contour</topic><topic>Skin</topic><topic>Statistics</topic><toplevel>online_resources</toplevel><creatorcontrib>Thiruvenkadam, S</creatorcontrib><creatorcontrib>Acharyya, M</creatorcontrib><creatorcontrib>Neeba, N V</creatorcontrib><creatorcontrib>Jhunjhunwala, P</creatorcontrib><creatorcontrib>Ranjan, S</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>Thiruvenkadam, S</au><au>Acharyya, M</au><au>Neeba, N V</au><au>Jhunjhunwala, P</au><au>Ranjan, S</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A region-based active contour method for extraction of breast skin-line in mammograms</atitle><btitle>2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro</btitle><stitle>ISBI</stitle><date>2010-04</date><risdate>2010</risdate><spage>189</spage><epage>192</epage><pages>189-192</pages><issn>1945-7928</issn><eissn>1945-8452</eissn><isbn>9781424441259</isbn><isbn>1424441250</isbn><eisbn>9781424441266</eisbn><eisbn>1424441269</eisbn><abstract>In this work, we present a novel region-based active contour technique to extract the breast boundary in mammograms. Skin-line extraction in mammograms is non-trivial due to the presence of noise, intensity inhomogeneities, and scanning artifacts. Also, weak contrast near the skin-line boundary, especially in the case of low-density breasts, poses a lot of difficulty in its extraction. Here, we represent the breast boundary by a smooth, parametric curve. The region based data term of the active contour energy is based on the assumption that in a small neighborhood around the skin boundary, the intensity is piece-wise constant. Further, to achieve a good initial guess, we make use of the assumption that at a large scale, the breast image is binary with a fuzzy boundary. A PDE based energy is employed to get the fuzzy membership function. The smoothness term of the above energy allows us to handle noise/ scanning artifacts in mammograms, and allows easy extraction of a single contour, which is then input to the active contour energy. Our experiments on the MIAS database gave promising results as validated by an experienced radiologist.</abstract><pub>IEEE</pub><doi>10.1109/ISBI.2010.5490383</doi><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Active contours Active noise reduction Breast Breast Skin-line Data mining Histograms Image segmentation Large-scale systems PDE based fuzzy segmentation region-based active contour Skin Statistics |
title | A region-based active contour method for extraction of breast skin-line in mammograms |
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