The Remove-the-Mask Open-Source head and neck Surface-Guided radiation therapy system

Background and Purpose: Surface Guided Radiotherapy (SGRT) for head and neck radiotherapy is challenging as obstructions are common and non-rigid facial motion can compromise surface accuracy. The purpose of this work was to develop and benchmark the Remove the Mask (RtM) SGRT system, an open-source...

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Main Authors: Youssef Ben Bouchta, Mark Gardner, Chandrima Sengupta, Julia Johnson, Paul Keall
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631624000113
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author Youssef Ben Bouchta
Mark Gardner
Chandrima Sengupta
Julia Johnson
Paul Keall
author_facet Youssef Ben Bouchta
Mark Gardner
Chandrima Sengupta
Julia Johnson
Paul Keall
author_sort Youssef Ben Bouchta
collection DOAJ
description Background and Purpose: Surface Guided Radiotherapy (SGRT) for head and neck radiotherapy is challenging as obstructions are common and non-rigid facial motion can compromise surface accuracy. The purpose of this work was to develop and benchmark the Remove the Mask (RtM) SGRT system, an open-source system especially designed to address the challenges faced in radiotherapy of head and neck cancer. Materials and Methods: The accuracy of the RtM SGRT system was benchmarked using a head phantom positioned on a robotic motion platform capable of sub-millimetre accuracy which was used to induce unidirectional shifts and to reproduce three real head motion traces. We also assessed the accuracy of the system in ten humans volunteers. The ground truth motion of the volunteers was obtained using a commercial motion capture system with an accuracy < 0.3 mm. Results: The mean tracking error of the RtM SGRT system for the ten volunteers was of −0.1 ± 0.4 mm −0.6 ± 0.6 mm and 0.3 ± 0.2 mm, and 0.0 ± 0.2° 0.0 ± 0.1° and 0.0 ± 0.2° for translations and rotations along the left–right, superior-inferior and anterior-posterior axes respectively and we also found similar results in measurements with the head phantom. Forced facial motion was associated with lower tracking accuracy. The RtM SGRT system achieved submillimetre accuracy. Conclusion: The RtM SGRT system is a low-cost, easy to build and open-source SGRT system that can achieve an accuracy that meets international commissioning guidelines. Its open-source and modular design allows for the development and easy translation of novel surface tracking techniques.
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spelling doaj.art-95a5bf0fc9d34400b12d8afbf5ca595e2024-03-23T06:25:02ZengElsevierPhysics and Imaging in Radiation Oncology2405-63162024-01-0129100541The Remove-the-Mask Open-Source head and neck Surface-Guided radiation therapy systemYoussef Ben Bouchta0Mark Gardner1Chandrima Sengupta2Julia Johnson3Paul Keall4Corresponding author.; The University of Sydney, Camperdown, NSW 2050, AustraliaThe University of Sydney, Camperdown, NSW 2050, AustraliaThe University of Sydney, Camperdown, NSW 2050, AustraliaThe University of Sydney, Camperdown, NSW 2050, AustraliaThe University of Sydney, Camperdown, NSW 2050, AustraliaBackground and Purpose: Surface Guided Radiotherapy (SGRT) for head and neck radiotherapy is challenging as obstructions are common and non-rigid facial motion can compromise surface accuracy. The purpose of this work was to develop and benchmark the Remove the Mask (RtM) SGRT system, an open-source system especially designed to address the challenges faced in radiotherapy of head and neck cancer. Materials and Methods: The accuracy of the RtM SGRT system was benchmarked using a head phantom positioned on a robotic motion platform capable of sub-millimetre accuracy which was used to induce unidirectional shifts and to reproduce three real head motion traces. We also assessed the accuracy of the system in ten humans volunteers. The ground truth motion of the volunteers was obtained using a commercial motion capture system with an accuracy < 0.3 mm. Results: The mean tracking error of the RtM SGRT system for the ten volunteers was of −0.1 ± 0.4 mm −0.6 ± 0.6 mm and 0.3 ± 0.2 mm, and 0.0 ± 0.2° 0.0 ± 0.1° and 0.0 ± 0.2° for translations and rotations along the left–right, superior-inferior and anterior-posterior axes respectively and we also found similar results in measurements with the head phantom. Forced facial motion was associated with lower tracking accuracy. The RtM SGRT system achieved submillimetre accuracy. Conclusion: The RtM SGRT system is a low-cost, easy to build and open-source SGRT system that can achieve an accuracy that meets international commissioning guidelines. Its open-source and modular design allows for the development and easy translation of novel surface tracking techniques.http://www.sciencedirect.com/science/article/pii/S2405631624000113Surface-Guided RadiotherapyIntra-Fraction Motion MonitoringOpen-SourceHead And Neck RadiotherapyImage-Guided Radiotherapy
spellingShingle Youssef Ben Bouchta
Mark Gardner
Chandrima Sengupta
Julia Johnson
Paul Keall
The Remove-the-Mask Open-Source head and neck Surface-Guided radiation therapy system
Physics and Imaging in Radiation Oncology
Surface-Guided Radiotherapy
Intra-Fraction Motion Monitoring
Open-Source
Head And Neck Radiotherapy
Image-Guided Radiotherapy
title The Remove-the-Mask Open-Source head and neck Surface-Guided radiation therapy system
title_full The Remove-the-Mask Open-Source head and neck Surface-Guided radiation therapy system
title_fullStr The Remove-the-Mask Open-Source head and neck Surface-Guided radiation therapy system
title_full_unstemmed The Remove-the-Mask Open-Source head and neck Surface-Guided radiation therapy system
title_short The Remove-the-Mask Open-Source head and neck Surface-Guided radiation therapy system
title_sort remove the mask open source head and neck surface guided radiation therapy system
topic Surface-Guided Radiotherapy
Intra-Fraction Motion Monitoring
Open-Source
Head And Neck Radiotherapy
Image-Guided Radiotherapy
url http://www.sciencedirect.com/science/article/pii/S2405631624000113
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