Development of a new VMAT QA framework for Mobius3D using control-point specific EPID images
PurposeThis study presents novel quality assurance (QA) approach for volumetric modulated arc therapy (VMAT) that leverages frame-by-frame electronic portal imaging device (EPID) images integrated into Mobius3D for accurate three-dimensional dose calculations.MethodsSequential EPID images for VMAT p...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-12-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1478118/full |
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| author | JaeHyun Seok JaeHyun Seok JaeHyun Seok Hojin Kim Min Cheol Han Jihun Kim Kwangwoo Park Hyeonjeong Cho Hyeonjeong Cho Hyeonjeong Cho Dohyeon Yoo Jin Sung Kim Jin Sung Kim Jin Sung Kim |
| author_facet | JaeHyun Seok JaeHyun Seok JaeHyun Seok Hojin Kim Min Cheol Han Jihun Kim Kwangwoo Park Hyeonjeong Cho Hyeonjeong Cho Hyeonjeong Cho Dohyeon Yoo Jin Sung Kim Jin Sung Kim Jin Sung Kim |
| author_sort | JaeHyun Seok |
| collection | DOAJ |
| description | PurposeThis study presents novel quality assurance (QA) approach for volumetric modulated arc therapy (VMAT) that leverages frame-by-frame electronic portal imaging device (EPID) images integrated into Mobius3D for accurate three-dimensional dose calculations.MethodsSequential EPID images for VMAT plans were acquired every 0.4-second by iView system and processed through iterative deconvolution to mitigate blurring from photon scattering. Deconvolved images were binarized to define multi-leaf collimator (MLC) positions. Pre-acquired box fluences determined optimal threshold for binarization and adjusted for detector shift depending on gantry and collimator angles. Sequential EPID images were re-scaled using pixel scaling factor (PSF) and converted to monitor unit (MU) proportional values. Generated EPID-based log file, including control-point specific MLC and monitor units (MU) information, were analyzed in Mobius3D for Gamma passing rate (GPR) of VMAT plans from 18 patients. Plan complexity indices were calculated and correlated with GPR.ResultsClinically appropriate threshold was defined to be 20000 that can extract accurate MLC data from the deconvolved binarized EPID images. Positional deviations due to gantry and collimator rotations were observed to be up to 4.5 pixels. Recalibrated EPID pixel values showed linearity with MU regardless of changes in dose rate. Consequently, average GPR for 18 patients evaluated using Mobius3D reached 95.2% ± 3.7%%, based on 3% dose difference and 3mm distance-to-agreement criterion. It was found that two plan complexity indices showed statistically significant correlation with GPR.ConclusionThis study successfully implemented novel measurement-based VMAT QA framework based on control-point specific EPID, based upon accurate MLC and MU data at each frame. |
| format | Article |
| id | doaj-art-3fe7ee6bb24b4d80905d0c7535dc0ddb |
| institution | Kabale University |
| issn | 2234-943X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj-art-3fe7ee6bb24b4d80905d0c7535dc0ddb2024-12-04T06:46:12ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2024-12-011410.3389/fonc.2024.14781181478118Development of a new VMAT QA framework for Mobius3D using control-point specific EPID imagesJaeHyun Seok0JaeHyun Seok1JaeHyun Seok2Hojin Kim3Min Cheol Han4Jihun Kim5Kwangwoo Park6Hyeonjeong Cho7Hyeonjeong Cho8Hyeonjeong Cho9Dohyeon Yoo10Jin Sung Kim11Jin Sung Kim12Jin Sung Kim13Department of Integrative Medicine, Yonsei University College of Medicine, Seoul, Republic of KoreaMedical Physics and Biomedical Engineering Lab (MPBEL), Yonsei University College of Medicine, Seoul, Republic of KoreaDepartment of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Republic of KoreaDepartment of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Republic of KoreaDepartment of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Republic of KoreaDepartment of Radiation Oncology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of KoreaDepartment of Radiation Oncology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of KoreaMedical Physics and Biomedical Engineering Lab (MPBEL), Yonsei University College of Medicine, Seoul, Republic of KoreaDepartment of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Republic of KoreaDepartment of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of KoreaDepartment of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Republic of KoreaMedical Physics and Biomedical Engineering Lab (MPBEL), Yonsei University College of Medicine, Seoul, Republic of KoreaDepartment of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Republic of KoreaOncosoft Inc., Seoul, Republic of KoreaPurposeThis study presents novel quality assurance (QA) approach for volumetric modulated arc therapy (VMAT) that leverages frame-by-frame electronic portal imaging device (EPID) images integrated into Mobius3D for accurate three-dimensional dose calculations.MethodsSequential EPID images for VMAT plans were acquired every 0.4-second by iView system and processed through iterative deconvolution to mitigate blurring from photon scattering. Deconvolved images were binarized to define multi-leaf collimator (MLC) positions. Pre-acquired box fluences determined optimal threshold for binarization and adjusted for detector shift depending on gantry and collimator angles. Sequential EPID images were re-scaled using pixel scaling factor (PSF) and converted to monitor unit (MU) proportional values. Generated EPID-based log file, including control-point specific MLC and monitor units (MU) information, were analyzed in Mobius3D for Gamma passing rate (GPR) of VMAT plans from 18 patients. Plan complexity indices were calculated and correlated with GPR.ResultsClinically appropriate threshold was defined to be 20000 that can extract accurate MLC data from the deconvolved binarized EPID images. Positional deviations due to gantry and collimator rotations were observed to be up to 4.5 pixels. Recalibrated EPID pixel values showed linearity with MU regardless of changes in dose rate. Consequently, average GPR for 18 patients evaluated using Mobius3D reached 95.2% ± 3.7%%, based on 3% dose difference and 3mm distance-to-agreement criterion. It was found that two plan complexity indices showed statistically significant correlation with GPR.ConclusionThis study successfully implemented novel measurement-based VMAT QA framework based on control-point specific EPID, based upon accurate MLC and MU data at each frame.https://www.frontiersin.org/articles/10.3389/fonc.2024.1478118/fullEPIDpatient-specific QAcontrol-point specific QAlog-based QAVMAT QA |
| spellingShingle | JaeHyun Seok JaeHyun Seok JaeHyun Seok Hojin Kim Min Cheol Han Jihun Kim Kwangwoo Park Hyeonjeong Cho Hyeonjeong Cho Hyeonjeong Cho Dohyeon Yoo Jin Sung Kim Jin Sung Kim Jin Sung Kim Development of a new VMAT QA framework for Mobius3D using control-point specific EPID images Frontiers in Oncology EPID patient-specific QA control-point specific QA log-based QA VMAT QA |
| title | Development of a new VMAT QA framework for Mobius3D using control-point specific EPID images |
| title_full | Development of a new VMAT QA framework for Mobius3D using control-point specific EPID images |
| title_fullStr | Development of a new VMAT QA framework for Mobius3D using control-point specific EPID images |
| title_full_unstemmed | Development of a new VMAT QA framework for Mobius3D using control-point specific EPID images |
| title_short | Development of a new VMAT QA framework for Mobius3D using control-point specific EPID images |
| title_sort | development of a new vmat qa framework for mobius3d using control point specific epid images |
| topic | EPID patient-specific QA control-point specific QA log-based QA VMAT QA |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2024.1478118/full |
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