Literature DB >> 28921931

Technical Note: A simple algorithm to convert EPID gray values into absorbed dose to water without prior knowledge.

Christine Boutry1, Aurélie Sors1, Jimmy Fontaine2, Nolwenn Delaby3, Gregory Delpon2,4.   

Abstract

PURPOSE: Full integration of EPID-based dosimetry in a global quality control workflow is still complicated. All the actual solutions are based on a relation between image gray-level signal and total linac-delivered dose. In this study, we propose a simple algorithm relying pixel gray-level of EPID image with average linac delivered dose per acquisition frame.
METHODS: Calibration models are constructed for Varian and Elekta linacs including scattering conditions and EPID-arm backscatter-specific corrections. Only simple homogeneous fields are required to establish the EPID dose conversion model for each x-ray beam. Then, the model was evaluated by comparing calculated and converted dose distributions for homogeneous and modulated beams using gamma maps.
RESULTS: To fit average dose per frame (Dfnorm ) vs pixel gray value (Ngnorm ) of each EPID image, a logarithmic curve Dfnorm=A+B∗lnNgnorm-C, has been chosen where A, B and C are constants depending on beam energy. Gamma comparison (2%, 2 mm, threshold 15%) between converted images and calculated dose distributions for linac control and pretreatment patient fields led to a gamma pass rate higher than 97% for all the analyzed fields.
CONCLUSIONS: Without a prior irradiation settings knowledge except the incident energy beam, we use EPID as a reliable dose to water detector for both homogeneous and modulated beams.
© 2017 American Association of Physicists in Medicine.

Entities:  

Keywords:  zzm321990EPIDzzm321990; dose verification; portal dosimetry; radiotherapy QA

Mesh:

Substances:

Year:  2017        PMID: 28921931     DOI: 10.1002/mp.12587

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  2 in total

1.  An electronic portal image device (EPID)-based multiplatform rapid daily LINAC QA tool.

Authors:  Yangguang Ma; Xuemin Wang; Rizhen Mai; Tao Wang; Yuntong Pei; Shuaipeng Liu; Yuexin Guo
Journal:  J Appl Clin Med Phys       Date:  2021-01-07       Impact factor: 2.102

2.  Portal dosimetry in radiotherapy repeatability evaluation.

Authors:  Krzysztof Ślosarek; Dominika Plaza; Aleksandra Nas; Marta Reudelsdorf; Jacek Wendykier; Barbara Bekman; Aleksandra Grządziel
Journal:  J Appl Clin Med Phys       Date:  2020-12-12       Impact factor: 2.102

  2 in total

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