PRIMO: A graphical environment for the Monte Carlo simulation of Varian and Elekta linacs
Background The accurate Monte Carlo simulation of a linac requires a detailed description of its geometry and the application of elaborate variance-reduction techniques for radiation transport. Both tasks entail a substantial coding effort and demand advanced knowledge of the intricacies of the Mont...
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Veröffentlicht in: | Strahlentherapie und Onkologie 2013-10, Vol.189 (10), p.881-886 |
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description | Background
The accurate Monte Carlo simulation of a linac requires a detailed description of its geometry and the application of elaborate variance-reduction techniques for radiation transport. Both tasks entail a substantial coding effort and demand advanced knowledge of the intricacies of the Monte Carlo system being used.
Methods
PRIMO, a new Monte Carlo system that allows the effortless simulation of most Varian and Elekta linacs, including their multileaf collimators and electron applicators, is introduced. PRIMO combines (1) accurate physics from the PENELOPE code, (2) dedicated variance-reduction techniques that significantly reduce the computation time, and (3) a user-friendly graphical interface with tools for the analysis of the generated data. PRIMO can tally dose distributions in phantoms and computerized tomographies, handle phase-space files in IAEA format, and import structures (planning target volumes, organs at risk) in the DICOM RT-STRUCT standard.
Results
A prostate treatment, conformed with a high definition Millenium multileaf collimator (MLC 120HD) from a Varian Clinac 2100 C/D, is presented as an example. The computation of the dose distribution in 1.86 × 3.00 × 1.86 mm
3
voxels with an average 2 % standard statistical uncertainty, performed on an eight-core Intel Xeon at 2.67 GHz, took 1.8 h—excluding the patient-independent part of the linac, which required 3.8 h but it is simulated only once.
Conclusion
PRIMO is a self-contained user-friendly system that facilitates the Monte Carlo simulation of dose distributions produced by most currently available linacs. This opens the door for routine use of Monte Carlo in clinical research and quality assurance purposes. It is free software that can be downloaded from http://www.primoproject.net. |
doi_str_mv | 10.1007/s00066-013-0415-1 |
format | Article |
fullrecord | <record><control><sourceid>proquest_csuc_</sourceid><recordid>TN_cdi_csuc_recercat_oai_recercat_cat_2072_222257</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3109445391</sourcerecordid><originalsourceid>FETCH-LOGICAL-c414t-6726489449423bebcf4e24c5db18e645884fd05f534c52ba0ccf0840bbd6ca033</originalsourceid><addsrcrecordid>eNp1UdtKxDAQDaLoevkAXyTgc3UmTXrxTZb1AooiKvoU0jTVajdZk1bw782yq-6LA8Mwl3NmmEPIPsIRAuTHAQCyLAFME-AoElwjI-RpmUBZPq2TEWBeJjmKYotsh_AGgBkv-SbZYhxAiAJH5Pn27vL65oSe0hevZq-tVh019rP1zk6N7WnjPO1fDb12tjd0rHznaGinQ6f61lnqGvqofKssVbamk86894p2rVU67JKNRnXB7C3jDnk4m9yPL5Krm_PL8elVojnyPslylvGi5PEwllam0g03jGtRV1iYjIui4E0NohFpLLJKgdYNFByqqs60gjTdIbjg1WHQ0httvFa9dKr9S-bOIGeSRRN5xBwuMDPvPgYTevnmBm_jmRI5F1hkmLIVZu9C8KaRM99Olf-SCHIugFwIIKMAci6AxIg5WDIP1dTUv4ifj8cBthgIsWVfjF9Z_S_rN9nWjrQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1445186132</pqid></control><display><type>article</type><title>PRIMO: A graphical environment for the Monte Carlo simulation of Varian and Elekta linacs</title><source>MEDLINE</source><source>Recercat</source><source>SpringerLink Journals - AutoHoldings</source><creator>Rodriguez, M. ; Sempau, J. ; Brualla, L.</creator><creatorcontrib>Rodriguez, M. ; Sempau, J. ; Brualla, L.</creatorcontrib><description>Background
The accurate Monte Carlo simulation of a linac requires a detailed description of its geometry and the application of elaborate variance-reduction techniques for radiation transport. Both tasks entail a substantial coding effort and demand advanced knowledge of the intricacies of the Monte Carlo system being used.
Methods
PRIMO, a new Monte Carlo system that allows the effortless simulation of most Varian and Elekta linacs, including their multileaf collimators and electron applicators, is introduced. PRIMO combines (1) accurate physics from the PENELOPE code, (2) dedicated variance-reduction techniques that significantly reduce the computation time, and (3) a user-friendly graphical interface with tools for the analysis of the generated data. PRIMO can tally dose distributions in phantoms and computerized tomographies, handle phase-space files in IAEA format, and import structures (planning target volumes, organs at risk) in the DICOM RT-STRUCT standard.
Results
A prostate treatment, conformed with a high definition Millenium multileaf collimator (MLC 120HD) from a Varian Clinac 2100 C/D, is presented as an example. The computation of the dose distribution in 1.86 × 3.00 × 1.86 mm
3
voxels with an average 2 % standard statistical uncertainty, performed on an eight-core Intel Xeon at 2.67 GHz, took 1.8 h—excluding the patient-independent part of the linac, which required 3.8 h but it is simulated only once.
Conclusion
PRIMO is a self-contained user-friendly system that facilitates the Monte Carlo simulation of dose distributions produced by most currently available linacs. This opens the door for routine use of Monte Carlo in clinical research and quality assurance purposes. It is free software that can be downloaded from http://www.primoproject.net.</description><identifier>ISSN: 0179-7158</identifier><identifier>EISSN: 1439-099X</identifier><identifier>DOI: 10.1007/s00066-013-0415-1</identifier><identifier>PMID: 24005581</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Computer Graphics ; Computerized tomography ; Diagnosis, Radioscopic ; Dose distribution ; Electromagnetisme ; Electrònica biomèdica ; Enginyeria biomèdica ; Equipment Design ; Equipment Failure Analysis ; Física ; Humans ; imaging ; Male ; Medicine ; Medicine & Public Health ; Monte Carlo Method ; Oncology ; Organs at risk ; Original Article ; Particle Accelerators - instrumentation ; Phantoms ; Planning target volume ; Prostatic Neoplasms - mortality ; Radiotherapy ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted - methods ; Radiotherapy, Conformal - instrumentation ; Radiotherapy, Conformal - methods ; Raigs X ; Software ; Tomografia ; Tomography ; x-ray ; Àrees temàtiques de la UPC</subject><ispartof>Strahlentherapie und Onkologie, 2013-10, Vol.189 (10), p.881-886</ispartof><rights>Springer Heidelberg Berlin 2013</rights><rights>Attribution-NonCommercial-NoDerivs 3.0 Spain info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by-nc-nd/3.0/es/">http://creativecommons.org/licenses/by-nc-nd/3.0/es/</a></rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c414t-6726489449423bebcf4e24c5db18e645884fd05f534c52ba0ccf0840bbd6ca033</citedby><cites>FETCH-LOGICAL-c414t-6726489449423bebcf4e24c5db18e645884fd05f534c52ba0ccf0840bbd6ca033</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00066-013-0415-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00066-013-0415-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,26974,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24005581$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rodriguez, M.</creatorcontrib><creatorcontrib>Sempau, J.</creatorcontrib><creatorcontrib>Brualla, L.</creatorcontrib><title>PRIMO: A graphical environment for the Monte Carlo simulation of Varian and Elekta linacs</title><title>Strahlentherapie und Onkologie</title><addtitle>Strahlenther Onkol</addtitle><addtitle>Strahlenther Onkol</addtitle><description>Background
The accurate Monte Carlo simulation of a linac requires a detailed description of its geometry and the application of elaborate variance-reduction techniques for radiation transport. Both tasks entail a substantial coding effort and demand advanced knowledge of the intricacies of the Monte Carlo system being used.
Methods
PRIMO, a new Monte Carlo system that allows the effortless simulation of most Varian and Elekta linacs, including their multileaf collimators and electron applicators, is introduced. PRIMO combines (1) accurate physics from the PENELOPE code, (2) dedicated variance-reduction techniques that significantly reduce the computation time, and (3) a user-friendly graphical interface with tools for the analysis of the generated data. PRIMO can tally dose distributions in phantoms and computerized tomographies, handle phase-space files in IAEA format, and import structures (planning target volumes, organs at risk) in the DICOM RT-STRUCT standard.
Results
A prostate treatment, conformed with a high definition Millenium multileaf collimator (MLC 120HD) from a Varian Clinac 2100 C/D, is presented as an example. The computation of the dose distribution in 1.86 × 3.00 × 1.86 mm
3
voxels with an average 2 % standard statistical uncertainty, performed on an eight-core Intel Xeon at 2.67 GHz, took 1.8 h—excluding the patient-independent part of the linac, which required 3.8 h but it is simulated only once.
Conclusion
PRIMO is a self-contained user-friendly system that facilitates the Monte Carlo simulation of dose distributions produced by most currently available linacs. This opens the door for routine use of Monte Carlo in clinical research and quality assurance purposes. It is free software that can be downloaded from http://www.primoproject.net.</description><subject>Computer Graphics</subject><subject>Computerized tomography</subject><subject>Diagnosis, Radioscopic</subject><subject>Dose distribution</subject><subject>Electromagnetisme</subject><subject>Electrònica biomèdica</subject><subject>Enginyeria biomèdica</subject><subject>Equipment Design</subject><subject>Equipment Failure Analysis</subject><subject>Física</subject><subject>Humans</subject><subject>imaging</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Monte Carlo Method</subject><subject>Oncology</subject><subject>Organs at risk</subject><subject>Original Article</subject><subject>Particle Accelerators - instrumentation</subject><subject>Phantoms</subject><subject>Planning target volume</subject><subject>Prostatic Neoplasms - mortality</subject><subject>Radiotherapy</subject><subject>Radiotherapy Dosage</subject><subject>Radiotherapy Planning, Computer-Assisted - methods</subject><subject>Radiotherapy, Conformal - instrumentation</subject><subject>Radiotherapy, Conformal - methods</subject><subject>Raigs X</subject><subject>Software</subject><subject>Tomografia</subject><subject>Tomography</subject><subject>x-ray</subject><subject>Àrees temàtiques de la UPC</subject><issn>0179-7158</issn><issn>1439-099X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>XX2</sourceid><recordid>eNp1UdtKxDAQDaLoevkAXyTgc3UmTXrxTZb1AooiKvoU0jTVajdZk1bw782yq-6LA8Mwl3NmmEPIPsIRAuTHAQCyLAFME-AoElwjI-RpmUBZPq2TEWBeJjmKYotsh_AGgBkv-SbZYhxAiAJH5Pn27vL65oSe0hevZq-tVh019rP1zk6N7WnjPO1fDb12tjd0rHznaGinQ6f61lnqGvqofKssVbamk86894p2rVU67JKNRnXB7C3jDnk4m9yPL5Krm_PL8elVojnyPslylvGi5PEwllam0g03jGtRV1iYjIui4E0NohFpLLJKgdYNFByqqs60gjTdIbjg1WHQ0httvFa9dKr9S-bOIGeSRRN5xBwuMDPvPgYTevnmBm_jmRI5F1hkmLIVZu9C8KaRM99Olf-SCHIugFwIIKMAci6AxIg5WDIP1dTUv4ifj8cBthgIsWVfjF9Z_S_rN9nWjrQ</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>Rodriguez, M.</creator><creator>Sempau, J.</creator><creator>Brualla, L.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature 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>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>XX2</scope></search><sort><creationdate>20131001</creationdate><title>PRIMO: A graphical environment for the Monte Carlo simulation of Varian and Elekta linacs</title><author>Rodriguez, M. ; Sempau, J. ; Brualla, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c414t-6726489449423bebcf4e24c5db18e645884fd05f534c52ba0ccf0840bbd6ca033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Computer Graphics</topic><topic>Computerized tomography</topic><topic>Diagnosis, Radioscopic</topic><topic>Dose distribution</topic><topic>Electromagnetisme</topic><topic>Electrònica biomèdica</topic><topic>Enginyeria biomèdica</topic><topic>Equipment Design</topic><topic>Equipment Failure Analysis</topic><topic>Física</topic><topic>Humans</topic><topic>imaging</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Monte Carlo Method</topic><topic>Oncology</topic><topic>Organs at risk</topic><topic>Original Article</topic><topic>Particle Accelerators - instrumentation</topic><topic>Phantoms</topic><topic>Planning target volume</topic><topic>Prostatic Neoplasms - mortality</topic><topic>Radiotherapy</topic><topic>Radiotherapy Dosage</topic><topic>Radiotherapy Planning, Computer-Assisted - methods</topic><topic>Radiotherapy, Conformal - instrumentation</topic><topic>Radiotherapy, Conformal - methods</topic><topic>Raigs X</topic><topic>Software</topic><topic>Tomografia</topic><topic>Tomography</topic><topic>x-ray</topic><topic>Àrees temàtiques de la UPC</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rodriguez, M.</creatorcontrib><creatorcontrib>Sempau, J.</creatorcontrib><creatorcontrib>Brualla, L.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest Health and Medical</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Recercat</collection><jtitle>Strahlentherapie und Onkologie</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rodriguez, M.</au><au>Sempau, J.</au><au>Brualla, L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PRIMO: A graphical environment for the Monte Carlo simulation of Varian and Elekta linacs</atitle><jtitle>Strahlentherapie und Onkologie</jtitle><stitle>Strahlenther Onkol</stitle><addtitle>Strahlenther Onkol</addtitle><date>2013-10-01</date><risdate>2013</risdate><volume>189</volume><issue>10</issue><spage>881</spage><epage>886</epage><pages>881-886</pages><issn>0179-7158</issn><eissn>1439-099X</eissn><abstract>Background
The accurate Monte Carlo simulation of a linac requires a detailed description of its geometry and the application of elaborate variance-reduction techniques for radiation transport. Both tasks entail a substantial coding effort and demand advanced knowledge of the intricacies of the Monte Carlo system being used.
Methods
PRIMO, a new Monte Carlo system that allows the effortless simulation of most Varian and Elekta linacs, including their multileaf collimators and electron applicators, is introduced. PRIMO combines (1) accurate physics from the PENELOPE code, (2) dedicated variance-reduction techniques that significantly reduce the computation time, and (3) a user-friendly graphical interface with tools for the analysis of the generated data. PRIMO can tally dose distributions in phantoms and computerized tomographies, handle phase-space files in IAEA format, and import structures (planning target volumes, organs at risk) in the DICOM RT-STRUCT standard.
Results
A prostate treatment, conformed with a high definition Millenium multileaf collimator (MLC 120HD) from a Varian Clinac 2100 C/D, is presented as an example. The computation of the dose distribution in 1.86 × 3.00 × 1.86 mm
3
voxels with an average 2 % standard statistical uncertainty, performed on an eight-core Intel Xeon at 2.67 GHz, took 1.8 h—excluding the patient-independent part of the linac, which required 3.8 h but it is simulated only once.
Conclusion
PRIMO is a self-contained user-friendly system that facilitates the Monte Carlo simulation of dose distributions produced by most currently available linacs. This opens the door for routine use of Monte Carlo in clinical research and quality assurance purposes. It is free software that can be downloaded from http://www.primoproject.net.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>24005581</pmid><doi>10.1007/s00066-013-0415-1</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Computer Graphics Computerized tomography Diagnosis, Radioscopic Dose distribution Electromagnetisme Electrònica biomèdica Enginyeria biomèdica Equipment Design Equipment Failure Analysis Física Humans imaging Male Medicine Medicine & Public Health Monte Carlo Method Oncology Organs at risk Original Article Particle Accelerators - instrumentation Phantoms Planning target volume Prostatic Neoplasms - mortality Radiotherapy Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted - methods Radiotherapy, Conformal - instrumentation Radiotherapy, Conformal - methods Raigs X Software Tomografia Tomography x-ray Àrees temàtiques de la UPC |
title | PRIMO: A graphical environment for the Monte Carlo simulation of Varian and Elekta linacs |
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