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
Hauptverfasser: Rodriguez, M., Sempau, J., Brualla, L.
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creator Rodriguez, M.
Sempau, J.
Brualla, L.
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
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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 &amp; 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 &lt;a href="http://creativecommons.org/licenses/by-nc-nd/3.0/es/"&gt;http://creativecommons.org/licenses/by-nc-nd/3.0/es/&lt;/a&gt;</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. 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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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