Optimization of intravascular brachytherapy treatment planning in peripheral arteries
Abstract This work deals with the treatment planning optimization for intravascular brachytherapy (IVB) in peripheral arteries. The objective is both to quantitatively study the validity of different hypotheses required for a reliable application of the treatment with current techniques, and to cont...
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| Veröffentlicht in: | Computerized medical imaging and graphics 2007-09, Vol.31 (6), p.401-407 |
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| creator | Zhou, Zhengdong Haigron, Pascal Shu, Huazhong Yu, Wenxue Moisan, Cécile Manens, Jean-Pierre Lucas, Antoine Luo, Limin |
| description | Abstract This work deals with the treatment planning optimization for intravascular brachytherapy (IVB) in peripheral arteries. The objective is both to quantitatively study the validity of different hypotheses required for a reliable application of the treatment with current techniques, and to contribute to the definition and the specification of a new optimized procedure taking into account the actual patient's vessel geometry. The detection of vascular luminal surface was performed by an image analysis process, i.e., virtual active navigation, applied to standard CT data. Dose distribution was calculated according to the formalism proposed and recommended by the AAPM in TG43 and TG60. A method combining simulated annealing and BFGS algorithms was applied to optimize the parameters associated with the dwell points such as their number, positions, and dwell times. Dose-surface histogram (DSH) was used to evaluate the dose distribution results. Four levels of accuracy in target surface description were tested. The application of this optimization method to four different CT data sets including patient data, phantom and animal models showed that the treatment plan can be improved when the actual vessel geometry has been taken into account. |
| doi_str_mv | 10.1016/j.compmedimag.2007.03.001 |
| format | Article |
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The objective is both to quantitatively study the validity of different hypotheses required for a reliable application of the treatment with current techniques, and to contribute to the definition and the specification of a new optimized procedure taking into account the actual patient's vessel geometry. The detection of vascular luminal surface was performed by an image analysis process, i.e., virtual active navigation, applied to standard CT data. Dose distribution was calculated according to the formalism proposed and recommended by the AAPM in TG43 and TG60. A method combining simulated annealing and BFGS algorithms was applied to optimize the parameters associated with the dwell points such as their number, positions, and dwell times. Dose-surface histogram (DSH) was used to evaluate the dose distribution results. Four levels of accuracy in target surface description were tested. The application of this optimization method to four different CT data sets including patient data, phantom and animal models showed that the treatment plan can be improved when the actual vessel geometry has been taken into account.</description><identifier>ISSN: 0895-6111</identifier><identifier>EISSN: 1879-0771</identifier><identifier>DOI: 10.1016/j.compmedimag.2007.03.001</identifier><identifier>PMID: 17574815</identifier><language>eng</language><publisher>United States: Elsevier Ltd</publisher><subject>Angiography - methods ; Arteries - radiation effects ; Bioengineering ; Brachytherapy - methods ; Computer Science ; Computer Simulation ; Engineering Sciences ; Finite Element Analysis ; Humans ; Imaging ; Internal Medicine ; Intravascular brachytherapy ; Life Sciences ; Modeling and Simulation ; Models, Biological ; Nuclear medicine ; Optimization ; Other ; Peripheral arteries ; Radiographic Image Interpretation, Computer-Assisted - methods ; Radiometry - methods ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted - methods ; Relative Biological Effectiveness ; Signal and Image processing ; Vascular Diseases - diagnostic imaging ; Vascular Diseases - radiotherapy ; Virtual active navigation</subject><ispartof>Computerized medical imaging and graphics, 2007-09, Vol.31 (6), p.401-407</ispartof><rights>Elsevier Ltd</rights><rights>2007 Elsevier Ltd</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c549t-49578b7e86d5df2805257c8ceef0aa8b1c0bab4ebea30e4d692926edafbb4c2d3</citedby><cites>FETCH-LOGICAL-c549t-49578b7e86d5df2805257c8ceef0aa8b1c0bab4ebea30e4d692926edafbb4c2d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.compmedimag.2007.03.001$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,778,782,883,3539,27907,27908,45978</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17574815$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://inserm.hal.science/inserm-00183861$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhou, Zhengdong</creatorcontrib><creatorcontrib>Haigron, Pascal</creatorcontrib><creatorcontrib>Shu, Huazhong</creatorcontrib><creatorcontrib>Yu, Wenxue</creatorcontrib><creatorcontrib>Moisan, Cécile</creatorcontrib><creatorcontrib>Manens, Jean-Pierre</creatorcontrib><creatorcontrib>Lucas, Antoine</creatorcontrib><creatorcontrib>Luo, Limin</creatorcontrib><title>Optimization of intravascular brachytherapy treatment planning in peripheral arteries</title><title>Computerized medical imaging and graphics</title><addtitle>Comput Med Imaging Graph</addtitle><description>Abstract This work deals with the treatment planning optimization for intravascular brachytherapy (IVB) in peripheral arteries. The objective is both to quantitatively study the validity of different hypotheses required for a reliable application of the treatment with current techniques, and to contribute to the definition and the specification of a new optimized procedure taking into account the actual patient's vessel geometry. The detection of vascular luminal surface was performed by an image analysis process, i.e., virtual active navigation, applied to standard CT data. Dose distribution was calculated according to the formalism proposed and recommended by the AAPM in TG43 and TG60. A method combining simulated annealing and BFGS algorithms was applied to optimize the parameters associated with the dwell points such as their number, positions, and dwell times. Dose-surface histogram (DSH) was used to evaluate the dose distribution results. Four levels of accuracy in target surface description were tested. The application of this optimization method to four different CT data sets including patient data, phantom and animal models showed that the treatment plan can be improved when the actual vessel geometry has been taken into account.</description><subject>Angiography - methods</subject><subject>Arteries - radiation effects</subject><subject>Bioengineering</subject><subject>Brachytherapy - methods</subject><subject>Computer Science</subject><subject>Computer Simulation</subject><subject>Engineering Sciences</subject><subject>Finite Element Analysis</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Intravascular brachytherapy</subject><subject>Life Sciences</subject><subject>Modeling and Simulation</subject><subject>Models, Biological</subject><subject>Nuclear medicine</subject><subject>Optimization</subject><subject>Other</subject><subject>Peripheral arteries</subject><subject>Radiographic Image Interpretation, Computer-Assisted - methods</subject><subject>Radiometry - methods</subject><subject>Radiotherapy Dosage</subject><subject>Radiotherapy Planning, Computer-Assisted - methods</subject><subject>Relative Biological Effectiveness</subject><subject>Signal and Image processing</subject><subject>Vascular Diseases - diagnostic imaging</subject><subject>Vascular Diseases - radiotherapy</subject><subject>Virtual active navigation</subject><issn>0895-6111</issn><issn>1879-0771</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkk9v1DAQxS0EotvCV0DhwomEcf7ZuSBVK6BIK_UAPVsTZ9L1kjjBdlZaPj2OdlUQJ06W5d-8Gb83jL3lkHHg9YdDpqdxHqkzIz5mOYDIoMgA-DO24VI0KQjBn7MNyKZKa875Fbv2_gAAOQj-kl1xUYlS8mrDHu7nYEbzC4OZbDL1ibHB4RG9XgZ0SetQ709hTw7nUxIcYRjJhmQe0FpjHyOezOTMvBJDgi7EC_lX7EWPg6fXl_OGPXz-9H17l-7uv3zd3u5SXZVNSMumErIVJOuu6vpcQpVXQktN1AOibLmGFtuSWsICqOzqJm_ymjrs27bUeVfcsPdn3T0OanbRDndSExp1d7tTxnpyo4q2yELW_Mgj_u6Mz276uZAPajRe0xA_Q9PiVQ4SRNE0EWzOoHaT9476J3EOao1AHdRfEag1AgXF2ivWvrk0Wdr4_qfy4nkEtmeAojNHQ055bcjqqOVIB9VN5r_afPxHRQ_GGo3DDzqRP0yLs9F6xZXPFahv6y6sqwAirkGco_gNtLK1Mw</recordid><startdate>20070901</startdate><enddate>20070901</enddate><creator>Zhou, Zhengdong</creator><creator>Haigron, Pascal</creator><creator>Shu, Huazhong</creator><creator>Yu, Wenxue</creator><creator>Moisan, Cécile</creator><creator>Manens, Jean-Pierre</creator><creator>Lucas, Antoine</creator><creator>Luo, Limin</creator><general>Elsevier Ltd</general><general>Elsevier</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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>1XC</scope><scope>VOOES</scope></search><sort><creationdate>20070901</creationdate><title>Optimization of intravascular brachytherapy treatment planning in peripheral arteries</title><author>Zhou, Zhengdong ; Haigron, Pascal ; Shu, Huazhong ; Yu, Wenxue ; Moisan, Cécile ; Manens, Jean-Pierre ; Lucas, Antoine ; Luo, Limin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c549t-49578b7e86d5df2805257c8ceef0aa8b1c0bab4ebea30e4d692926edafbb4c2d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Angiography - methods</topic><topic>Arteries - radiation effects</topic><topic>Bioengineering</topic><topic>Brachytherapy - methods</topic><topic>Computer Science</topic><topic>Computer Simulation</topic><topic>Engineering Sciences</topic><topic>Finite Element Analysis</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Intravascular brachytherapy</topic><topic>Life Sciences</topic><topic>Modeling and Simulation</topic><topic>Models, Biological</topic><topic>Nuclear medicine</topic><topic>Optimization</topic><topic>Other</topic><topic>Peripheral arteries</topic><topic>Radiographic Image Interpretation, Computer-Assisted - methods</topic><topic>Radiometry - methods</topic><topic>Radiotherapy Dosage</topic><topic>Radiotherapy Planning, Computer-Assisted - methods</topic><topic>Relative Biological Effectiveness</topic><topic>Signal and Image processing</topic><topic>Vascular Diseases - diagnostic imaging</topic><topic>Vascular Diseases - radiotherapy</topic><topic>Virtual active navigation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Zhengdong</creatorcontrib><creatorcontrib>Haigron, Pascal</creatorcontrib><creatorcontrib>Shu, Huazhong</creatorcontrib><creatorcontrib>Yu, Wenxue</creatorcontrib><creatorcontrib>Moisan, Cécile</creatorcontrib><creatorcontrib>Manens, Jean-Pierre</creatorcontrib><creatorcontrib>Lucas, Antoine</creatorcontrib><creatorcontrib>Luo, Limin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Computerized medical imaging and graphics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Zhengdong</au><au>Haigron, Pascal</au><au>Shu, Huazhong</au><au>Yu, Wenxue</au><au>Moisan, Cécile</au><au>Manens, Jean-Pierre</au><au>Lucas, Antoine</au><au>Luo, Limin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of intravascular brachytherapy treatment planning in peripheral arteries</atitle><jtitle>Computerized medical imaging and graphics</jtitle><addtitle>Comput Med Imaging Graph</addtitle><date>2007-09-01</date><risdate>2007</risdate><volume>31</volume><issue>6</issue><spage>401</spage><epage>407</epage><pages>401-407</pages><issn>0895-6111</issn><eissn>1879-0771</eissn><abstract>Abstract This work deals with the treatment planning optimization for intravascular brachytherapy (IVB) in peripheral arteries. The objective is both to quantitatively study the validity of different hypotheses required for a reliable application of the treatment with current techniques, and to contribute to the definition and the specification of a new optimized procedure taking into account the actual patient's vessel geometry. The detection of vascular luminal surface was performed by an image analysis process, i.e., virtual active navigation, applied to standard CT data. Dose distribution was calculated according to the formalism proposed and recommended by the AAPM in TG43 and TG60. A method combining simulated annealing and BFGS algorithms was applied to optimize the parameters associated with the dwell points such as their number, positions, and dwell times. Dose-surface histogram (DSH) was used to evaluate the dose distribution results. Four levels of accuracy in target surface description were tested. The application of this optimization method to four different CT data sets including patient data, phantom and animal models showed that the treatment plan can be improved when the actual vessel geometry has been taken into account.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>17574815</pmid><doi>10.1016/j.compmedimag.2007.03.001</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Computerized medical imaging and graphics, 2007-09, Vol.31 (6), p.401-407 |
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| source | MEDLINE; Elsevier ScienceDirect Journals Complete |
| subjects | Angiography - methods Arteries - radiation effects Bioengineering Brachytherapy - methods Computer Science Computer Simulation Engineering Sciences Finite Element Analysis Humans Imaging Internal Medicine Intravascular brachytherapy Life Sciences Modeling and Simulation Models, Biological Nuclear medicine Optimization Other Peripheral arteries Radiographic Image Interpretation, Computer-Assisted - methods Radiometry - methods Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted - methods Relative Biological Effectiveness Signal and Image processing Vascular Diseases - diagnostic imaging Vascular Diseases - radiotherapy Virtual active navigation |
| title | Optimization of intravascular brachytherapy treatment planning in peripheral arteries |
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