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Optimizing the MLC model parameters for IMRT in the RayStation treatment planning system
Unlike other commercial treatment planning systems (TPS) which model the rounded leaf end differently (such as the MLC dosimetric leaf gap (DLG) or rounded leaf‐tip radius), the RayStation TPS (RaySearch Laboratories, Stockholm, Sweden) models transmission through the rounded leaf end of the MLC wit...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690186/ https://www.ncbi.nlm.nih.gov/pubmed/26699315 http://dx.doi.org/10.1120/jacmp.v16i5.5548 |
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author | Chen, Shifeng Yi, Byong Yong Yang, Xiaocheng Xu, Huijun Prado, Karl L. D'Souza, Warren D. |
author_facet | Chen, Shifeng Yi, Byong Yong Yang, Xiaocheng Xu, Huijun Prado, Karl L. D'Souza, Warren D. |
author_sort | Chen, Shifeng |
collection | PubMed |
description | Unlike other commercial treatment planning systems (TPS) which model the rounded leaf end differently (such as the MLC dosimetric leaf gap (DLG) or rounded leaf‐tip radius), the RayStation TPS (RaySearch Laboratories, Stockholm, Sweden) models transmission through the rounded leaf end of the MLC with a step function, in which the radiation transmission through the leaf end is the square root of the average MLC transmission factor. We report on the optimization of MLC model parameters for the RayStation planning system. This (TPS) models the rounded leaf end of the MLC with the following parameters: leaf‐tip offset, leaf‐tip width, average transmission factor, and tongue and groove. We optimized the MLC model parameters for IMRT in the RayStation v. 4.0 planning system and for a Varian C‐series linac with a 120‐leaf Millennium MLC, and validated the model using measured data. The leaf‐tip offset is the geometric offset due to the rounded leaf‐end design and resulting divergence of the light/radiation field. The offset value is a function of the leaf‐tip position, and tabulated data are available from the vendor. The leaf‐tip width was iteratively evaluated by comparing computed and measured transverse dose profiles of MLC defined fields at [Formula: see text] in water. In‐water profile comparisons were also used to verify the MLC leaf position (leaf‐tip offset). The average transmission factor and leaf tongue‐and‐groove width were derived iteratively by maximizing the agreement between measurements and RayStation TPS calculations for five clinical IMRT QA plans. Plan verifications were performed by comparing MapCHECK2 measurements and Monte Carlo calculations. The MLC model was validated using five test IMRT cases from the AAPM Task Group 119 report. Absolute gamma analyses ([Formula: see text] and [Formula: see text]) were applied. In addition, computed output factors for MLC‐defined small fields ([Formula: see text]) of both 6 MV and 18 MV photons were compared to those independently measured by the Imaging and Radiation Oncology Core (IROC), Houston, TX. 6 MV and 18 MV models were both determined to have the same MLC parameters: leaf‐tip [Formula: see text] transmission, and leaf tongue‐and‐groove [Formula: see text]. IMRT QA analysis for five test cases in TG‐119 resulted in a 100% passing rate with [Formula: see text] gamma analysis for 6 MV, and [Formula: see text] for 18 MV. The passing rate was [Formula: see text] for 6 MV and [Formula: see text] for 18 MV when the [Formula: see text] gamma analysis criteria was applied. These results compared favorably with those published in AAPM Task Group 119. The reported MLC model parameters serve as a reference for other users. PACS number(s): 87.55.D, 87.56.nk |
format | Online Article Text |
id | pubmed-5690186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56901862018-04-02 Optimizing the MLC model parameters for IMRT in the RayStation treatment planning system Chen, Shifeng Yi, Byong Yong Yang, Xiaocheng Xu, Huijun Prado, Karl L. D'Souza, Warren D. J Appl Clin Med Phys Radiation Oncology Physics Unlike other commercial treatment planning systems (TPS) which model the rounded leaf end differently (such as the MLC dosimetric leaf gap (DLG) or rounded leaf‐tip radius), the RayStation TPS (RaySearch Laboratories, Stockholm, Sweden) models transmission through the rounded leaf end of the MLC with a step function, in which the radiation transmission through the leaf end is the square root of the average MLC transmission factor. We report on the optimization of MLC model parameters for the RayStation planning system. This (TPS) models the rounded leaf end of the MLC with the following parameters: leaf‐tip offset, leaf‐tip width, average transmission factor, and tongue and groove. We optimized the MLC model parameters for IMRT in the RayStation v. 4.0 planning system and for a Varian C‐series linac with a 120‐leaf Millennium MLC, and validated the model using measured data. The leaf‐tip offset is the geometric offset due to the rounded leaf‐end design and resulting divergence of the light/radiation field. The offset value is a function of the leaf‐tip position, and tabulated data are available from the vendor. The leaf‐tip width was iteratively evaluated by comparing computed and measured transverse dose profiles of MLC defined fields at [Formula: see text] in water. In‐water profile comparisons were also used to verify the MLC leaf position (leaf‐tip offset). The average transmission factor and leaf tongue‐and‐groove width were derived iteratively by maximizing the agreement between measurements and RayStation TPS calculations for five clinical IMRT QA plans. Plan verifications were performed by comparing MapCHECK2 measurements and Monte Carlo calculations. The MLC model was validated using five test IMRT cases from the AAPM Task Group 119 report. Absolute gamma analyses ([Formula: see text] and [Formula: see text]) were applied. In addition, computed output factors for MLC‐defined small fields ([Formula: see text]) of both 6 MV and 18 MV photons were compared to those independently measured by the Imaging and Radiation Oncology Core (IROC), Houston, TX. 6 MV and 18 MV models were both determined to have the same MLC parameters: leaf‐tip [Formula: see text] transmission, and leaf tongue‐and‐groove [Formula: see text]. IMRT QA analysis for five test cases in TG‐119 resulted in a 100% passing rate with [Formula: see text] gamma analysis for 6 MV, and [Formula: see text] for 18 MV. The passing rate was [Formula: see text] for 6 MV and [Formula: see text] for 18 MV when the [Formula: see text] gamma analysis criteria was applied. These results compared favorably with those published in AAPM Task Group 119. The reported MLC model parameters serve as a reference for other users. PACS number(s): 87.55.D, 87.56.nk John Wiley and Sons Inc. 2015-09-08 /pmc/articles/PMC5690186/ /pubmed/26699315 http://dx.doi.org/10.1120/jacmp.v16i5.5548 Text en © 2015 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Chen, Shifeng Yi, Byong Yong Yang, Xiaocheng Xu, Huijun Prado, Karl L. D'Souza, Warren D. Optimizing the MLC model parameters for IMRT in the RayStation treatment planning system |
title | Optimizing the MLC model parameters for IMRT in the RayStation treatment planning system |
title_full | Optimizing the MLC model parameters for IMRT in the RayStation treatment planning system |
title_fullStr | Optimizing the MLC model parameters for IMRT in the RayStation treatment planning system |
title_full_unstemmed | Optimizing the MLC model parameters for IMRT in the RayStation treatment planning system |
title_short | Optimizing the MLC model parameters for IMRT in the RayStation treatment planning system |
title_sort | optimizing the mlc model parameters for imrt in the raystation treatment planning system |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690186/ https://www.ncbi.nlm.nih.gov/pubmed/26699315 http://dx.doi.org/10.1120/jacmp.v16i5.5548 |
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