Three-dimensional seed reconstruction for prostate brachytherapy using Hough trajectories
In order to perform intra-operative or post-implant dosimetry in prostate brachytherapy, the 3D coordinates of the implanted radioactive seeds must be determined. Film or fluoroscopy based seed reconstruction techniques use back projection of x-ray data obtained at two or three x-ray positions. Thes...
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Veröffentlicht in: | Physics in medicine & biology 2004-02, Vol.49 (4), p.557-569 |
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creator | Lam, Steve T Cho, Paul S MarksII, Robert J Narayanan, Sreeram |
description | In order to perform intra-operative or post-implant dosimetry in prostate brachytherapy, the 3D coordinates of the implanted radioactive seeds must be determined. Film or fluoroscopy based seed reconstruction techniques use back projection of x-ray data obtained at two or three x-ray positions. These methods, however, do not perform well when some of the seed images are undetected. To overcome this problem we have developed an alternate technique for 3D seed localization using the principle of Hough transform. The Hough method utilizes the fact that, for each seed coordinate in three dimensions, there exists a unique trajectory in Hough feature space. In this paper we present the Hough transform parametric equations to describe the path of the seed projections from one view to the next and a method to reconstruct the 3D seed coordinates. The results of simulation and phantom studies indicate that the Hough trajectory method can accurately determine the 3D seed positions even from an incomplete dataset. |
doi_str_mv | 10.1088/0031-9155/49/4/007 |
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Film or fluoroscopy based seed reconstruction techniques use back projection of x-ray data obtained at two or three x-ray positions. These methods, however, do not perform well when some of the seed images are undetected. To overcome this problem we have developed an alternate technique for 3D seed localization using the principle of Hough transform. The Hough method utilizes the fact that, for each seed coordinate in three dimensions, there exists a unique trajectory in Hough feature space. In this paper we present the Hough transform parametric equations to describe the path of the seed projections from one view to the next and a method to reconstruct the 3D seed coordinates. The results of simulation and phantom studies indicate that the Hough trajectory method can accurately determine the 3D seed positions even from an incomplete dataset.</description><identifier>ISSN: 0031-9155</identifier><identifier>EISSN: 1361-6560</identifier><identifier>DOI: 10.1088/0031-9155/49/4/007</identifier><identifier>PMID: 15005165</identifier><language>eng</language><publisher>England: IOP Publishing</publisher><subject>Algorithms ; Brachytherapy - methods ; Humans ; Imaging, Three-Dimensional ; Male ; Pattern Recognition, Automated ; Prostate - diagnostic imaging ; Radiographic Image Interpretation, Computer-Assisted ; Radionuclide Imaging ; Tomography, X-Ray Computed</subject><ispartof>Physics in medicine & biology, 2004-02, Vol.49 (4), p.557-569</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-3c9461a93fabe118dcadffda839bb399275ab6214680d9a1a07611d94e21b1783</citedby><cites>FETCH-LOGICAL-c371t-3c9461a93fabe118dcadffda839bb399275ab6214680d9a1a07611d94e21b1783</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/0031-9155/49/4/007/pdf$$EPDF$$P50$$Giop$$H</linktopdf><link.rule.ids>314,776,780,27901,27902,53805,53885</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15005165$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lam, Steve T</creatorcontrib><creatorcontrib>Cho, Paul S</creatorcontrib><creatorcontrib>MarksII, Robert J</creatorcontrib><creatorcontrib>Narayanan, Sreeram</creatorcontrib><title>Three-dimensional seed reconstruction for prostate brachytherapy using Hough trajectories</title><title>Physics in medicine & biology</title><addtitle>Phys Med Biol</addtitle><description>In order to perform intra-operative or post-implant dosimetry in prostate brachytherapy, the 3D coordinates of the implanted radioactive seeds must be determined. Film or fluoroscopy based seed reconstruction techniques use back projection of x-ray data obtained at two or three x-ray positions. These methods, however, do not perform well when some of the seed images are undetected. To overcome this problem we have developed an alternate technique for 3D seed localization using the principle of Hough transform. The Hough method utilizes the fact that, for each seed coordinate in three dimensions, there exists a unique trajectory in Hough feature space. In this paper we present the Hough transform parametric equations to describe the path of the seed projections from one view to the next and a method to reconstruct the 3D seed coordinates. The results of simulation and phantom studies indicate that the Hough trajectory method can accurately determine the 3D seed positions even from an incomplete dataset.</description><subject>Algorithms</subject><subject>Brachytherapy - methods</subject><subject>Humans</subject><subject>Imaging, Three-Dimensional</subject><subject>Male</subject><subject>Pattern Recognition, Automated</subject><subject>Prostate - diagnostic imaging</subject><subject>Radiographic Image Interpretation, Computer-Assisted</subject><subject>Radionuclide Imaging</subject><subject>Tomography, X-Ray Computed</subject><issn>0031-9155</issn><issn>1361-6560</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkDFPwzAQhS0EoqXwBxhQJiSGUF-cOPGIEFCkSixlYLIc-9KkSpNgO0P_Pa5awdCF6fRO33u6e4TcAn0EWhRzShnEArJsnop5GmR-RqbAOMQ84_ScTH-BCblybkMpQJGkl2QCGaUZ8GxKvla1RYxNs8XONX2n2sghmsii7jvn7ah92EZVb6PB9s4rj1Fpla53vkarhl00uqZbR4t-XNeRt2qD2ve2QXdNLirVOrw5zhn5fH1ZPS_i5cfb-_PTMtYsBx8zLVIOSrBKlRjuM1qZqjKqYKIsmRBJnqmSJ5DyghqhQNGcAxiRYgIl5AWbkftDbrjve0Tn5bZxGttWddiPTuaQQwJZEsDkAOrwiLNYycE2W2V3EqjcFyr3fcl9XzIVMg0yD6a7Y_pYbtH8WY4NBiA-AE0__C_w4ZQ_5eRgKvYDwBSMuw</recordid><startdate>20040221</startdate><enddate>20040221</enddate><creator>Lam, Steve T</creator><creator>Cho, Paul S</creator><creator>MarksII, Robert J</creator><creator>Narayanan, Sreeram</creator><general>IOP Publishing</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>20040221</creationdate><title>Three-dimensional seed reconstruction for prostate brachytherapy using Hough trajectories</title><author>Lam, Steve T ; Cho, Paul S ; MarksII, Robert J ; Narayanan, Sreeram</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-3c9461a93fabe118dcadffda839bb399275ab6214680d9a1a07611d94e21b1783</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Algorithms</topic><topic>Brachytherapy - methods</topic><topic>Humans</topic><topic>Imaging, Three-Dimensional</topic><topic>Male</topic><topic>Pattern Recognition, Automated</topic><topic>Prostate - diagnostic imaging</topic><topic>Radiographic Image Interpretation, Computer-Assisted</topic><topic>Radionuclide Imaging</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lam, Steve T</creatorcontrib><creatorcontrib>Cho, Paul S</creatorcontrib><creatorcontrib>MarksII, Robert J</creatorcontrib><creatorcontrib>Narayanan, Sreeram</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>Physics in medicine & biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lam, Steve T</au><au>Cho, Paul S</au><au>MarksII, Robert J</au><au>Narayanan, Sreeram</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Three-dimensional seed reconstruction for prostate brachytherapy using Hough trajectories</atitle><jtitle>Physics in medicine & biology</jtitle><addtitle>Phys Med Biol</addtitle><date>2004-02-21</date><risdate>2004</risdate><volume>49</volume><issue>4</issue><spage>557</spage><epage>569</epage><pages>557-569</pages><issn>0031-9155</issn><eissn>1361-6560</eissn><abstract>In order to perform intra-operative or post-implant dosimetry in prostate brachytherapy, the 3D coordinates of the implanted radioactive seeds must be determined. Film or fluoroscopy based seed reconstruction techniques use back projection of x-ray data obtained at two or three x-ray positions. These methods, however, do not perform well when some of the seed images are undetected. To overcome this problem we have developed an alternate technique for 3D seed localization using the principle of Hough transform. The Hough method utilizes the fact that, for each seed coordinate in three dimensions, there exists a unique trajectory in Hough feature space. In this paper we present the Hough transform parametric equations to describe the path of the seed projections from one view to the next and a method to reconstruct the 3D seed coordinates. The results of simulation and phantom studies indicate that the Hough trajectory method can accurately determine the 3D seed positions even from an incomplete dataset.</abstract><cop>England</cop><pub>IOP Publishing</pub><pmid>15005165</pmid><doi>10.1088/0031-9155/49/4/007</doi><tpages>13</tpages></addata></record> |
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subjects | Algorithms Brachytherapy - methods Humans Imaging, Three-Dimensional Male Pattern Recognition, Automated Prostate - diagnostic imaging Radiographic Image Interpretation, Computer-Assisted Radionuclide Imaging Tomography, X-Ray Computed |
title | Three-dimensional seed reconstruction for prostate brachytherapy using Hough trajectories |
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