A CAD system for the 3D location of lesions in mammograms
A CAD system for estimating the 3D (three-dimensional) positions of lesions found in two mammographic views is described. The system is an extension of our previous method [Comput. Vis. Image Understand. 83 (2001) 38] which finds corresponding 2D positions in different mammographic views. The method...
Gespeichert in:
| Veröffentlicht in: | Medical image analysis 2002-09, Vol.6 (3), p.267-273 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 273 |
|---|---|
| container_issue | 3 |
| container_start_page | 267 |
| container_title | Medical image analysis |
| container_volume | 6 |
| creator | Kita, Yasuyo Tohno, Eriko Highnam, Ralph P Brady, Michael |
| description | A CAD system for estimating the 3D (three-dimensional) positions of lesions found in two mammographic views is described. The system is an extension of our previous method [Comput. Vis. Image Understand. 83 (2001) 38] which finds corresponding 2D positions in different mammographic views. The method calculates curved epipolar lines by developing a simulation of breast deformation into stereo camera geometry. Using such curved epipolar lines, not only can we determine point correspondences, but can estimate the 3D location of a lesion. In this paper, we first explain the underlying principles and system organisation. The correctness of the 3D positions calculated by the system is examined using a set of breast lesions, which appear both in mammograms and in MRI data. The experimental results demonstrate the clinical promise of the CAD system. |
| doi_str_mv | 10.1016/S1361-8415(02)00084-1 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_72125508</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1361841502000841</els_id><sourcerecordid>72125508</sourcerecordid><originalsourceid>FETCH-LOGICAL-c361t-21e02ad59232e59d3f6cdb46b29b19b7fa6c745a120a0a66e0ecef5aa309fc2f3</originalsourceid><addsrcrecordid>eNqFkE1PwzAMhiMEYjD4CaCcEBwKcdK06wlNG1_SJA7AOUpTB4qaZiQd0v493VbBkZMt67Ff-SHkDNg1MMhuXkBkkExSkJeMXzHGJmkCe-RoGHOx_9uDHJHjGD97KE9TdkhGwHnOuIAjUkzpbDqncR07dNT6QLsPpGJOG290V_uWeksbjH0Xad1Sp53z70G7eEIOrG4ing51TN7u715nj8ni-eFpNl0kpk_vEg7IuK5kwQVHWVTCZqYq06zkRQlFmVudmTyVGjjTTGcZMjRopdaCFdZwK8bkYnd3GfzXCmOnXB0NNo1u0a-iyjlwKdmkB-UONMHHGNCqZaidDmsFTG2cqa0ztRGiGFdbZwr6vfMhYFU6rP62Bkk9cLsDsH_zu8agoqmxNVjVAU2nKl__E_EDQM55vQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>72125508</pqid></control><display><type>article</type><title>A CAD system for the 3D location of lesions in mammograms</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Kita, Yasuyo ; Tohno, Eriko ; Highnam, Ralph P ; Brady, Michael</creator><creatorcontrib>Kita, Yasuyo ; Tohno, Eriko ; Highnam, Ralph P ; Brady, Michael</creatorcontrib><description>A CAD system for estimating the 3D (three-dimensional) positions of lesions found in two mammographic views is described. The system is an extension of our previous method [Comput. Vis. Image Understand. 83 (2001) 38] which finds corresponding 2D positions in different mammographic views. The method calculates curved epipolar lines by developing a simulation of breast deformation into stereo camera geometry. Using such curved epipolar lines, not only can we determine point correspondences, but can estimate the 3D location of a lesion. In this paper, we first explain the underlying principles and system organisation. The correctness of the 3D positions calculated by the system is examined using a set of breast lesions, which appear both in mammograms and in MRI data. The experimental results demonstrate the clinical promise of the CAD system.</description><identifier>ISSN: 1361-8415</identifier><identifier>EISSN: 1361-8423</identifier><identifier>DOI: 10.1016/S1361-8415(02)00084-1</identifier><identifier>PMID: 12270231</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>3D localization ; Algorithms ; Breast ; Breast Neoplasms - diagnostic imaging ; Breast Neoplasms - pathology ; CAD (computer-aided diagnosis) ; CAI (computer-aided intervention) ; Computer-Aided Design ; Deformable objects ; Humans ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Imaging, Three-Dimensional - methods ; Magnetic Resonance Imaging ; Mammogram ; Mammography - methods ; Sensitivity and Specificity ; Stereo images</subject><ispartof>Medical image analysis, 2002-09, Vol.6 (3), p.267-273</ispartof><rights>2002 Elsevier Science B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c361t-21e02ad59232e59d3f6cdb46b29b19b7fa6c745a120a0a66e0ecef5aa309fc2f3</citedby><cites>FETCH-LOGICAL-c361t-21e02ad59232e59d3f6cdb46b29b19b7fa6c745a120a0a66e0ecef5aa309fc2f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1361841502000841$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,65309</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12270231$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kita, Yasuyo</creatorcontrib><creatorcontrib>Tohno, Eriko</creatorcontrib><creatorcontrib>Highnam, Ralph P</creatorcontrib><creatorcontrib>Brady, Michael</creatorcontrib><title>A CAD system for the 3D location of lesions in mammograms</title><title>Medical image analysis</title><addtitle>Med Image Anal</addtitle><description>A CAD system for estimating the 3D (three-dimensional) positions of lesions found in two mammographic views is described. The system is an extension of our previous method [Comput. Vis. Image Understand. 83 (2001) 38] which finds corresponding 2D positions in different mammographic views. The method calculates curved epipolar lines by developing a simulation of breast deformation into stereo camera geometry. Using such curved epipolar lines, not only can we determine point correspondences, but can estimate the 3D location of a lesion. In this paper, we first explain the underlying principles and system organisation. The correctness of the 3D positions calculated by the system is examined using a set of breast lesions, which appear both in mammograms and in MRI data. The experimental results demonstrate the clinical promise of the CAD system.</description><subject>3D localization</subject><subject>Algorithms</subject><subject>Breast</subject><subject>Breast Neoplasms - diagnostic imaging</subject><subject>Breast Neoplasms - pathology</subject><subject>CAD (computer-aided diagnosis)</subject><subject>CAI (computer-aided intervention)</subject><subject>Computer-Aided Design</subject><subject>Deformable objects</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Magnetic Resonance Imaging</subject><subject>Mammogram</subject><subject>Mammography - methods</subject><subject>Sensitivity and Specificity</subject><subject>Stereo images</subject><issn>1361-8415</issn><issn>1361-8423</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE1PwzAMhiMEYjD4CaCcEBwKcdK06wlNG1_SJA7AOUpTB4qaZiQd0v493VbBkZMt67Ff-SHkDNg1MMhuXkBkkExSkJeMXzHGJmkCe-RoGHOx_9uDHJHjGD97KE9TdkhGwHnOuIAjUkzpbDqncR07dNT6QLsPpGJOG290V_uWeksbjH0Xad1Sp53z70G7eEIOrG4ing51TN7u715nj8ni-eFpNl0kpk_vEg7IuK5kwQVHWVTCZqYq06zkRQlFmVudmTyVGjjTTGcZMjRopdaCFdZwK8bkYnd3GfzXCmOnXB0NNo1u0a-iyjlwKdmkB-UONMHHGNCqZaidDmsFTG2cqa0ztRGiGFdbZwr6vfMhYFU6rP62Bkk9cLsDsH_zu8agoqmxNVjVAU2nKl__E_EDQM55vQ</recordid><startdate>20020901</startdate><enddate>20020901</enddate><creator>Kita, Yasuyo</creator><creator>Tohno, Eriko</creator><creator>Highnam, Ralph P</creator><creator>Brady, Michael</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20020901</creationdate><title>A CAD system for the 3D location of lesions in mammograms</title><author>Kita, Yasuyo ; Tohno, Eriko ; Highnam, Ralph P ; Brady, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c361t-21e02ad59232e59d3f6cdb46b29b19b7fa6c745a120a0a66e0ecef5aa309fc2f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>3D localization</topic><topic>Algorithms</topic><topic>Breast</topic><topic>Breast Neoplasms - diagnostic imaging</topic><topic>Breast Neoplasms - pathology</topic><topic>CAD (computer-aided diagnosis)</topic><topic>CAI (computer-aided intervention)</topic><topic>Computer-Aided Design</topic><topic>Deformable objects</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Magnetic Resonance Imaging</topic><topic>Mammogram</topic><topic>Mammography - methods</topic><topic>Sensitivity and Specificity</topic><topic>Stereo images</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kita, Yasuyo</creatorcontrib><creatorcontrib>Tohno, Eriko</creatorcontrib><creatorcontrib>Highnam, Ralph P</creatorcontrib><creatorcontrib>Brady, Michael</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Medical image analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kita, Yasuyo</au><au>Tohno, Eriko</au><au>Highnam, Ralph P</au><au>Brady, Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A CAD system for the 3D location of lesions in mammograms</atitle><jtitle>Medical image analysis</jtitle><addtitle>Med Image Anal</addtitle><date>2002-09-01</date><risdate>2002</risdate><volume>6</volume><issue>3</issue><spage>267</spage><epage>273</epage><pages>267-273</pages><issn>1361-8415</issn><eissn>1361-8423</eissn><abstract>A CAD system for estimating the 3D (three-dimensional) positions of lesions found in two mammographic views is described. The system is an extension of our previous method [Comput. Vis. Image Understand. 83 (2001) 38] which finds corresponding 2D positions in different mammographic views. The method calculates curved epipolar lines by developing a simulation of breast deformation into stereo camera geometry. Using such curved epipolar lines, not only can we determine point correspondences, but can estimate the 3D location of a lesion. In this paper, we first explain the underlying principles and system organisation. The correctness of the 3D positions calculated by the system is examined using a set of breast lesions, which appear both in mammograms and in MRI data. The experimental results demonstrate the clinical promise of the CAD system.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>12270231</pmid><doi>10.1016/S1361-8415(02)00084-1</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1361-8415 |
| ispartof | Medical image analysis, 2002-09, Vol.6 (3), p.267-273 |
| issn | 1361-8415 1361-8423 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_72125508 |
| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | 3D localization Algorithms Breast Breast Neoplasms - diagnostic imaging Breast Neoplasms - pathology CAD (computer-aided diagnosis) CAI (computer-aided intervention) Computer-Aided Design Deformable objects Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods Magnetic Resonance Imaging Mammogram Mammography - methods Sensitivity and Specificity Stereo images |
| title | A CAD system for the 3D location of lesions in mammograms |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T02%3A40%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20CAD%20system%20for%20the%203D%20location%20of%20lesions%20in%20mammograms&rft.jtitle=Medical%20image%20analysis&rft.au=Kita,%20Yasuyo&rft.date=2002-09-01&rft.volume=6&rft.issue=3&rft.spage=267&rft.epage=273&rft.pages=267-273&rft.issn=1361-8415&rft.eissn=1361-8423&rft_id=info:doi/10.1016/S1361-8415(02)00084-1&rft_dat=%3Cproquest_cross%3E72125508%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=72125508&rft_id=info:pmid/12270231&rft_els_id=S1361841502000841&rfr_iscdi=true |