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Fiducial detection and registration for 3D IMRT QA with organ‐specific dose information

PURPOSE: Two‐dimensional (2D) IMRT QA has been widely performed in Radiation Oncology clinic. However, concerns regarding its sensitivity in detecting delivery errors and its clinical meaning have been raised in publications. In this study, a robust methodology of three‐dimensional (3D) IMRT QA usin...

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Autores principales: Wang, Yi‐Fang, Dona, Olga, Xu, Yuanguang, Adamovics, John, Wuu, Cheng‐Shie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130247/
https://www.ncbi.nlm.nih.gov/pubmed/33792180
http://dx.doi.org/10.1002/acm2.13237
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author Wang, Yi‐Fang
Dona, Olga
Xu, Yuanguang
Adamovics, John
Wuu, Cheng‐Shie
author_facet Wang, Yi‐Fang
Dona, Olga
Xu, Yuanguang
Adamovics, John
Wuu, Cheng‐Shie
author_sort Wang, Yi‐Fang
collection PubMed
description PURPOSE: Two‐dimensional (2D) IMRT QA has been widely performed in Radiation Oncology clinic. However, concerns regarding its sensitivity in detecting delivery errors and its clinical meaning have been raised in publications. In this study, a robust methodology of three‐dimensional (3D) IMRT QA using fiducial registration and structure‐mapping was proposed to acquire organ‐specific dose information. METHODS: Computed tomography (CT) markers were placed on the PRESAGE dosimeter as fiducials before CT simulation. Subsequently, the images were transferred to the treatment planning system to create a verification plan for the examined treatment plan. Patient’s CT images were registered to the CT images of the dosimeter for structure mapping according to the positions of the fiducials. After irradiation, the 3D dose distribution was read‐out by an optical‐CT (OCT) scanner with fiducials shown on the OCT dose images. An automatic localization algorithm was developed in MATLAB to register the markers in the OCT images to those in the CT images of the dosimeter. SlicerRT was used to show and analyze the results. Fiducial registration error was acquired by measuring the discrepancies in 20 fiducial registrations, and thus the fiducial localization error and target registration error (TRE) was estimated. RESULTS: Dosimetry comparison between the calculated and measured dose distribution in various forms were presented, including 2D isodose lines comparison, 3D isodose surfaces with patient’s anatomical structures, 2D and 3D gamma index, dose volume histogram and 3D view of gamma failing points. From the analysis of 20 fiducial registrations, fiducial registration error was measured to be 0.62 mm and fiducial localization error was calculated to be 0.44 mm. Target registration uncertainty of the proposed methodology was estimated to be within 0.3 mm in the area of dose measurement. CONCLUSIONS: This study proposed a robust methodology of 3D measurement‐based IMRT QA for organ‐specific dose comparison and demonstrated its clinical feasibility.
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spelling pubmed-81302472021-05-21 Fiducial detection and registration for 3D IMRT QA with organ‐specific dose information Wang, Yi‐Fang Dona, Olga Xu, Yuanguang Adamovics, John Wuu, Cheng‐Shie J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: Two‐dimensional (2D) IMRT QA has been widely performed in Radiation Oncology clinic. However, concerns regarding its sensitivity in detecting delivery errors and its clinical meaning have been raised in publications. In this study, a robust methodology of three‐dimensional (3D) IMRT QA using fiducial registration and structure‐mapping was proposed to acquire organ‐specific dose information. METHODS: Computed tomography (CT) markers were placed on the PRESAGE dosimeter as fiducials before CT simulation. Subsequently, the images were transferred to the treatment planning system to create a verification plan for the examined treatment plan. Patient’s CT images were registered to the CT images of the dosimeter for structure mapping according to the positions of the fiducials. After irradiation, the 3D dose distribution was read‐out by an optical‐CT (OCT) scanner with fiducials shown on the OCT dose images. An automatic localization algorithm was developed in MATLAB to register the markers in the OCT images to those in the CT images of the dosimeter. SlicerRT was used to show and analyze the results. Fiducial registration error was acquired by measuring the discrepancies in 20 fiducial registrations, and thus the fiducial localization error and target registration error (TRE) was estimated. RESULTS: Dosimetry comparison between the calculated and measured dose distribution in various forms were presented, including 2D isodose lines comparison, 3D isodose surfaces with patient’s anatomical structures, 2D and 3D gamma index, dose volume histogram and 3D view of gamma failing points. From the analysis of 20 fiducial registrations, fiducial registration error was measured to be 0.62 mm and fiducial localization error was calculated to be 0.44 mm. Target registration uncertainty of the proposed methodology was estimated to be within 0.3 mm in the area of dose measurement. CONCLUSIONS: This study proposed a robust methodology of 3D measurement‐based IMRT QA for organ‐specific dose comparison and demonstrated its clinical feasibility. John Wiley and Sons Inc. 2021-03-31 /pmc/articles/PMC8130247/ /pubmed/33792180 http://dx.doi.org/10.1002/acm2.13237 Text en © 2021 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Radiation Oncology Physics
Wang, Yi‐Fang
Dona, Olga
Xu, Yuanguang
Adamovics, John
Wuu, Cheng‐Shie
Fiducial detection and registration for 3D IMRT QA with organ‐specific dose information
title Fiducial detection and registration for 3D IMRT QA with organ‐specific dose information
title_full Fiducial detection and registration for 3D IMRT QA with organ‐specific dose information
title_fullStr Fiducial detection and registration for 3D IMRT QA with organ‐specific dose information
title_full_unstemmed Fiducial detection and registration for 3D IMRT QA with organ‐specific dose information
title_short Fiducial detection and registration for 3D IMRT QA with organ‐specific dose information
title_sort fiducial detection and registration for 3d imrt qa with organ‐specific dose information
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8130247/
https://www.ncbi.nlm.nih.gov/pubmed/33792180
http://dx.doi.org/10.1002/acm2.13237
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