Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy

Velthuis, Jaap; Li, Yutong; Pritchard, Jordan; Sio, Chiara De; Beck, Lana; Hugtenburg, Richard

doi:10.3390/s23041799

Journal article 687 views 91 downloads

Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy

Jaap Velthuis, Yutong Li

, Jordan Pritchard

, Chiara De Sio

, Lana Beck

, Richard Hugtenburg

Sensors, Volume: 23, Issue: 4, Start page: 1799

Swansea University Authors: Jaap Velthuis, Richard Hugtenburg

PDF | Version of Record

Copyright: © 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Download (4.26MB)

Check full text

DOI (Published version): 10.3390/s23041799

Abstract

Intensity-modulated radiotherapy is a widely used technique for accurately targeting cancerous tumours in difficult locations using dynamically shaped beams. This is ideally accompanied by real-time independent verification. Monolithic active pixel sensors are a viable candidate for providing upstre...

Full description

Published in:	Sensors
ISSN:	1424-8220
Published:	MDPI AG 2023
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa67935

first_indexed	2024-10-08T10:01:53Z
last_indexed	2024-11-25T14:21:07Z
id	cronfa67935
recordtype	SURis
fullrecord	<?xml version="1.0"?><rfc1807><datestamp>2024-11-07T11:57:30.6151978</datestamp><bib-version>v2</bib-version><id>67935</id><entry>2024-10-08</entry><title>Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy</title><swanseaauthors><author><sid>e781802af57442339d29ab1fa6156d25</sid><firstname>Jaap</firstname><surname>Velthuis</surname><name>Jaap Velthuis</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>efd2f52ea19cb047e01a01e6fa6fa54c</sid><ORCID>0000-0003-0352-9607</ORCID><firstname>Richard</firstname><surname>Hugtenburg</surname><name>Richard Hugtenburg</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-10-08</date><abstract>Intensity-modulated radiotherapy is a widely used technique for accurately targeting cancerous tumours in difficult locations using dynamically shaped beams. This is ideally accompanied by real-time independent verification. Monolithic active pixel sensors are a viable candidate for providing upstream beam monitoring during treatment. We have already demonstrated that a Monolithic Active Pixel Sensor (MAPS)-based system can fulfill all clinical requirements except for the minimum required size. Here, we report the performance of a large-scale demonstrator system consisting of a matrix of 2 × 2 sensors, which is large enough to cover almost all radiotherapy treatment fields when affixed to the shadow tray of the LINAC head. When building a matrix structure, a small dead area is inevitable. Here, we report that with a newly developed position algorithm, leaf positions can be reconstructed over the entire range with a position resolution of below ∼200 μm in the centre of the sensor, which worsens to just below 300 μm in the middle of the gap between two sensors. A leaf position resolution below 300 μm results in a dose error below 2%, which is good enough for clinical deployment.</abstract><type>Journal Article</type><journal>Sensors</journal><volume>23</volume><journalNumber>4</journalNumber><paginationStart>1799</paginationStart><paginationEnd/><publisher>MDPI AG</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>1424-8220</issnElectronic><keywords>X-ray detectors; solid-state detectors; radiation-hard detectors; image processing; data processing methods; image reconstruction in medical imaging; radiotherapy concepts; radiotherapy verification; radiotherapy monitoring; detector alignment and calibration; Multi Leaf Collimator (MLC); Monolithic Active Pixel Sensors (MAPS)</keywords><publishedDay>6</publishedDay><publishedMonth>2</publishedMonth><publishedYear>2023</publishedYear><publishedDate>2023-02-06</publishedDate><doi>10.3390/s23041799</doi><url/><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm>Another institution paid the OA fee</apcterm><funders>This research was funded by STFC and EPSRC through the IAA route. Jordan Pritchard received a scholarship from the EPSRC DTA. Yutong Li is funded by the Chinese Scholarship Council.</funders><projectreference/><lastEdited>2024-11-07T11:57:30.6151978</lastEdited><Created>2024-10-08T11:01:20.9594655</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medical Physics</level></path><authors><author><firstname>Jaap</firstname><surname>Velthuis</surname><order>1</order></author><author><firstname>Yutong</firstname><surname>Li</surname><orcid>0000-0003-2221-7983</orcid><order>2</order></author><author><firstname>Jordan</firstname><surname>Pritchard</surname><orcid>0000-0002-2842-6615</orcid><order>3</order></author><author><firstname>Chiara De</firstname><surname>Sio</surname><orcid>0000-0001-9112-425x</orcid><order>4</order></author><author><firstname>Lana</firstname><surname>Beck</surname><orcid>0000-0003-4369-7648</orcid><order>5</order></author><author><firstname>Richard</firstname><surname>Hugtenburg</surname><orcid>0000-0003-0352-9607</orcid><order>6</order></author></authors><documents><document><filename>67935__32874__a22b34129c3649a88d2506e598b63d0c.pdf</filename><originalFilename>67935.VoR.pdf</originalFilename><uploaded>2024-11-07T11:56:23.6150140</uploaded><type>Output</type><contentLength>4465710</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Copyright: © 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling	2024-11-07T11:57:30.6151978 v2 67935 2024-10-08 Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy e781802af57442339d29ab1fa6156d25 Jaap Velthuis Jaap Velthuis true false efd2f52ea19cb047e01a01e6fa6fa54c 0000-0003-0352-9607 Richard Hugtenburg Richard Hugtenburg true false 2024-10-08 Intensity-modulated radiotherapy is a widely used technique for accurately targeting cancerous tumours in difficult locations using dynamically shaped beams. This is ideally accompanied by real-time independent verification. Monolithic active pixel sensors are a viable candidate for providing upstream beam monitoring during treatment. We have already demonstrated that a Monolithic Active Pixel Sensor (MAPS)-based system can fulfill all clinical requirements except for the minimum required size. Here, we report the performance of a large-scale demonstrator system consisting of a matrix of 2 × 2 sensors, which is large enough to cover almost all radiotherapy treatment fields when affixed to the shadow tray of the LINAC head. When building a matrix structure, a small dead area is inevitable. Here, we report that with a newly developed position algorithm, leaf positions can be reconstructed over the entire range with a position resolution of below ∼200 μm in the centre of the sensor, which worsens to just below 300 μm in the middle of the gap between two sensors. A leaf position resolution below 300 μm results in a dose error below 2%, which is good enough for clinical deployment. Journal Article Sensors 23 4 1799 MDPI AG 1424-8220 X-ray detectors; solid-state detectors; radiation-hard detectors; image processing; data processing methods; image reconstruction in medical imaging; radiotherapy concepts; radiotherapy verification; radiotherapy monitoring; detector alignment and calibration; Multi Leaf Collimator (MLC); Monolithic Active Pixel Sensors (MAPS) 6 2 2023 2023-02-06 10.3390/s23041799 COLLEGE NANME COLLEGE CODE Swansea University Another institution paid the OA fee This research was funded by STFC and EPSRC through the IAA route. Jordan Pritchard received a scholarship from the EPSRC DTA. Yutong Li is funded by the Chinese Scholarship Council. 2024-11-07T11:57:30.6151978 2024-10-08T11:01:20.9594655 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medical Physics Jaap Velthuis 1 Yutong Li 0000-0003-2221-7983 2 Jordan Pritchard 0000-0002-2842-6615 3 Chiara De Sio 0000-0001-9112-425x 4 Lana Beck 0000-0003-4369-7648 5 Richard Hugtenburg 0000-0003-0352-9607 6 67935__32874__a22b34129c3649a88d2506e598b63d0c.pdf 67935.VoR.pdf 2024-11-07T11:56:23.6150140 Output 4465710 application/pdf Version of Record true Copyright: © 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. true eng https://creativecommons.org/licenses/by/4.0/
title	Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy
spellingShingle	Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy Jaap Velthuis Richard Hugtenburg
title_short	Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy
title_full	Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy
title_fullStr	Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy
title_full_unstemmed	Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy
title_sort	Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy
author_id_str_mv	e781802af57442339d29ab1fa6156d25 efd2f52ea19cb047e01a01e6fa6fa54c
author_id_fullname_str_mv	e781802af57442339d29ab1fa6156d25_*_Jaap Velthuis efd2f52ea19cb047e01a01e6fa6fa54c_*_Richard Hugtenburg
author	Jaap Velthuis Richard Hugtenburg
author2	Jaap Velthuis Yutong Li Jordan Pritchard Chiara De Sio Lana Beck Richard Hugtenburg
format	Journal article
container_title	Sensors
container_volume	23
container_issue	4
container_start_page	1799
publishDate	2023
institution	Swansea University
issn	1424-8220
doi_str_mv	10.3390/s23041799
publisher	MDPI AG
college_str	Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id	facultyofmedicinehealthandlifesciences
hierarchy_top_title	Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id	facultyofmedicinehealthandlifesciences
hierarchy_parent_title	Faculty of Medicine, Health and Life Sciences
department_str	Swansea University Medical School - Medical Physics{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medical Physics
document_store_str	1
active_str	0
description	Intensity-modulated radiotherapy is a widely used technique for accurately targeting cancerous tumours in difficult locations using dynamically shaped beams. This is ideally accompanied by real-time independent verification. Monolithic active pixel sensors are a viable candidate for providing upstream beam monitoring during treatment. We have already demonstrated that a Monolithic Active Pixel Sensor (MAPS)-based system can fulfill all clinical requirements except for the minimum required size. Here, we report the performance of a large-scale demonstrator system consisting of a matrix of 2 × 2 sensors, which is large enough to cover almost all radiotherapy treatment fields when affixed to the shadow tray of the LINAC head. When building a matrix structure, a small dead area is inevitable. Here, we report that with a newly developed position algorithm, leaf positions can be reconstructed over the entire range with a position resolution of below ∼200 μm in the centre of the sensor, which worsens to just below 300 μm in the middle of the gap between two sensors. A leaf position resolution below 300 μm results in a dose error below 2%, which is good enough for clinical deployment.
published_date	2023-02-06T05:24:56Z
_version_	1856986464207765504
score	11.096212

Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy

Similar Items