No Cover Image

Journal article 105 views

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

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

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

Swansea University Authors: Jaap Velthuis, Richard Hugtenburg Orcid Logo

Full text not available from this repository: check for access using links below.

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 &#xD7; 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 &#x223C;200 &#x3BC;m in the centre of the sensor, which worsens to just below 300 &#x3BC;m in the middle of the gap between two sensors. A leaf position resolution below 300 &#x3BC;m 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: &#xA9; 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 0
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 2023-02-06T08:35:14Z
_version_ 1821393828381196288
score 11.047501