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On flattening filter‐free portal dosimetry

Varian introduced (in 2010) the option of removing the flattening filter (FF) in their C‐Arm linacs for intensity‐modulated treatments. This mode, called flattening filter‐free (FFF), offers the advantage of a greater dose rate. Varian's “Portal Dosimetry” is an electronic portal imager device...

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Autores principales: Pardo, Eduardo, Novais, Juan Castro, Molina López, María Yolanda, Maqueda, Sheila Ruiz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690039/
https://www.ncbi.nlm.nih.gov/pubmed/27455487
http://dx.doi.org/10.1120/jacmp.v17i4.6147
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author Pardo, Eduardo
Novais, Juan Castro
Molina López, María Yolanda
Maqueda, Sheila Ruiz
author_facet Pardo, Eduardo
Novais, Juan Castro
Molina López, María Yolanda
Maqueda, Sheila Ruiz
author_sort Pardo, Eduardo
collection PubMed
description Varian introduced (in 2010) the option of removing the flattening filter (FF) in their C‐Arm linacs for intensity‐modulated treatments. This mode, called flattening filter‐free (FFF), offers the advantage of a greater dose rate. Varian's “Portal Dosimetry” is an electronic portal imager device (EPID)‐based tool for IMRT verification. This tool lacks the capability of verifying flattening filter‐free (FFF) modes due to saturation and lack of an image prediction algorithm. (Note: the latest versions of this software and EPID correct these issues.) The objective of the present study is to research the feasibility of said verifications (with the older versions of the software and EPID). By placing the EPID at a greater distance, the images can be acquired without saturation, yielding a linearity similar to the flattened mode. For the image prediction, a method was optimized based on the clinically used algorithm (analytical anisotropic algorithm (AAA)) over a homogeneous phantom. The depth inside the phantom and its electronic density were tailored. An application was developed to allow the conversion of a dose plane (in DICOM format) to Varian's custom format for Portal Dosimetry. The proposed method was used for the verification of test and clinical fields for the three qualities used in our institution for IMRT: 6X, 6FFF and 10FFF. The method developed yielded a positive verification (more than 95% of the points pass a [Formula: see text] gamma) for both the clinical and test fields. This method was also capable of “predicting” static and wedged fields. A workflow for the verification of FFF fields was developed. This method relies on the clinical algorithm used for dose calculation and is able to verify the FFF modes, as well as being useful for machine quality assurance. The procedure described does not require new hardware. This method could be used as a verification of Varian's Portal Dose Image Prediction. PACS number(s): 87.53.Kn, 87.55.T‐, 87.56.bd, 87.59.‐e
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spelling pubmed-56900392018-04-02 On flattening filter‐free portal dosimetry Pardo, Eduardo Novais, Juan Castro Molina López, María Yolanda Maqueda, Sheila Ruiz J Appl Clin Med Phys Radiation Oncology Physics Varian introduced (in 2010) the option of removing the flattening filter (FF) in their C‐Arm linacs for intensity‐modulated treatments. This mode, called flattening filter‐free (FFF), offers the advantage of a greater dose rate. Varian's “Portal Dosimetry” is an electronic portal imager device (EPID)‐based tool for IMRT verification. This tool lacks the capability of verifying flattening filter‐free (FFF) modes due to saturation and lack of an image prediction algorithm. (Note: the latest versions of this software and EPID correct these issues.) The objective of the present study is to research the feasibility of said verifications (with the older versions of the software and EPID). By placing the EPID at a greater distance, the images can be acquired without saturation, yielding a linearity similar to the flattened mode. For the image prediction, a method was optimized based on the clinically used algorithm (analytical anisotropic algorithm (AAA)) over a homogeneous phantom. The depth inside the phantom and its electronic density were tailored. An application was developed to allow the conversion of a dose plane (in DICOM format) to Varian's custom format for Portal Dosimetry. The proposed method was used for the verification of test and clinical fields for the three qualities used in our institution for IMRT: 6X, 6FFF and 10FFF. The method developed yielded a positive verification (more than 95% of the points pass a [Formula: see text] gamma) for both the clinical and test fields. This method was also capable of “predicting” static and wedged fields. A workflow for the verification of FFF fields was developed. This method relies on the clinical algorithm used for dose calculation and is able to verify the FFF modes, as well as being useful for machine quality assurance. The procedure described does not require new hardware. This method could be used as a verification of Varian's Portal Dose Image Prediction. PACS number(s): 87.53.Kn, 87.55.T‐, 87.56.bd, 87.59.‐e John Wiley and Sons Inc. 2016-07-08 /pmc/articles/PMC5690039/ /pubmed/27455487 http://dx.doi.org/10.1120/jacmp.v17i4.6147 Text en © 2016 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
Pardo, Eduardo
Novais, Juan Castro
Molina López, María Yolanda
Maqueda, Sheila Ruiz
On flattening filter‐free portal dosimetry
title On flattening filter‐free portal dosimetry
title_full On flattening filter‐free portal dosimetry
title_fullStr On flattening filter‐free portal dosimetry
title_full_unstemmed On flattening filter‐free portal dosimetry
title_short On flattening filter‐free portal dosimetry
title_sort on flattening filter‐free portal dosimetry
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690039/
https://www.ncbi.nlm.nih.gov/pubmed/27455487
http://dx.doi.org/10.1120/jacmp.v17i4.6147
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