A Novel Approach to Contamination Suppression in Transmission Detectors for Radiotherapy

Beck, L.; Velthuis, Jaap; Page, R. F.; Hugtenburg, Richard; Sio, C. De; Pritchard, J.

doi:10.1109/trpms.2020.2995059

Journal article 1000 views 100 downloads

A Novel Approach to Contamination Suppression in Transmission Detectors for Radiotherapy

L. Beck, Jaap Velthuis, R. F. Page, Richard Hugtenburg

, C. De Sio, J. Pritchard

IEEE Transactions on Radiation and Plasma Medical Sciences, Volume: 4, Issue: 5, Pages: 637 - 643

Swansea University Authors: Jaap Velthuis, Richard Hugtenburg

PDF | Version of Record

Released under the terms of a Creative Commons Attribution 4.0 License (CC-BY).
Download (1.01MB)

Check full text

DOI (Published version): 10.1109/trpms.2020.2995059

Abstract

The current trend in X-ray radiotherapy is to treat cancers that are in difficult locations in the body using beams with a complex intensity profile. Intensity Modulated Radiotherapy (IMRT) is a treatment which improves the dose distribution to the tumour whilst reducing the dose to healthy tissue....

Full description

Published in:	IEEE Transactions on Radiation and Plasma Medical Sciences
ISSN:	2469-7311 2469-7303
Published:	Institute of Electrical and Electronics Engineers (IEEE) 2020
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa54276

first_indexed	2020-05-19T19:08:23Z
last_indexed	2020-10-02T03:15:02Z
id	cronfa54276
recordtype	SURis
fullrecord	<?xml version="1.0"?><rfc1807><datestamp>2020-10-01T16:06:48.9692637</datestamp><bib-version>v2</bib-version><id>54276</id><entry>2020-05-19</entry><title>A Novel Approach to Contamination Suppression in Transmission Detectors 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>2020-05-19</date><abstract>The current trend in X-ray radiotherapy is to treat cancers that are in difficult locations in the body using beams with a complex intensity profile. Intensity Modulated Radiotherapy (IMRT) is a treatment which improves the dose distribution to the tumour whilst reducing the dose to healthy tissue. Such treatments administer a larger dose per treatment fraction and hence require more complex methods to verify the accuracy of the treatment delivery. Measuring beam intensity fluctuations is difficult as the beam is heavily distorted after leaving thepatient and transmission detectors will attenuate the beam and change the energy spectrum of the beam. Monolithic Active Pixel Sensors (MAPS) are ideal solid-state detectors to measure the 2D beam profile of a radiotherapy beam upstream of the patient. MAPS sensors can be made very thin (∼ 30 μm) with still very good signal-to-noise performance. This means that the beam would pass through the sensor virtually undisturbed(< 1% attenuation). Pixel pitches of between 2 μm to 100 μm are commercially available. Large area devices (∼ 15 × 15 cm 2 ) have been produced. MAPS can be made radiation hard enough to befully functional after a large number of fractions. All this makes MAPS a very realistic transmission detector candidate for beam monitoring upstream of the patient. A remaining challenge for thin, upstream sensors is that the detectors are sensitive to the signal of both therapeutic photons and electron contamination. Here a method is presented to distinguish between the signal due to electrons and photons and thus provide real-time dosimetric information in very thin sensors that does not require Monte Carlo simulation of each linear accelerator treatment head.</abstract><type>Journal Article</type><journal>IEEE Transactions on Radiation and Plasma Medical Sciences</journal><volume>4</volume><journalNumber>5</journalNumber><paginationStart>637</paginationStart><paginationEnd>643</paginationEnd><publisher>Institute of Electrical and Electronics Engineers (IEEE)</publisher><issnPrint>2469-7311</issnPrint><issnElectronic>2469-7303</issnElectronic><keywords/><publishedDay>2</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-09-02</publishedDate><doi>10.1109/trpms.2020.2995059</doi><url/><notes/><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-10-01T16:06:48.9692637</lastEdited><Created>2020-05-19T14:42:56.0125523</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>L.</firstname><surname>Beck</surname><order>1</order></author><author><firstname>Jaap</firstname><surname>Velthuis</surname><order>2</order></author><author><firstname>R. F.</firstname><surname>Page</surname><order>3</order></author><author><firstname>Richard</firstname><surname>Hugtenburg</surname><orcid>0000-0003-0352-9607</orcid><order>4</order></author><author><firstname>C. De</firstname><surname>Sio</surname><order>5</order></author><author><firstname>J.</firstname><surname>Pritchard</surname><order>6</order></author></authors><documents><document><filename>54276__18299__0e490b73c7b84b51ab3d9423a0fc988e.pdf</filename><originalFilename>54276.pdf</originalFilename><uploaded>2020-10-01T16:03:43.5138219</uploaded><type>Output</type><contentLength>1059106</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Released under the terms of a Creative Commons Attribution 4.0 License (CC-BY).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling	2020-10-01T16:06:48.9692637 v2 54276 2020-05-19 A Novel Approach to Contamination Suppression in Transmission Detectors for Radiotherapy e781802af57442339d29ab1fa6156d25 Jaap Velthuis Jaap Velthuis true false efd2f52ea19cb047e01a01e6fa6fa54c 0000-0003-0352-9607 Richard Hugtenburg Richard Hugtenburg true false 2020-05-19 The current trend in X-ray radiotherapy is to treat cancers that are in difficult locations in the body using beams with a complex intensity profile. Intensity Modulated Radiotherapy (IMRT) is a treatment which improves the dose distribution to the tumour whilst reducing the dose to healthy tissue. Such treatments administer a larger dose per treatment fraction and hence require more complex methods to verify the accuracy of the treatment delivery. Measuring beam intensity fluctuations is difficult as the beam is heavily distorted after leaving thepatient and transmission detectors will attenuate the beam and change the energy spectrum of the beam. Monolithic Active Pixel Sensors (MAPS) are ideal solid-state detectors to measure the 2D beam profile of a radiotherapy beam upstream of the patient. MAPS sensors can be made very thin (∼ 30 μm) with still very good signal-to-noise performance. This means that the beam would pass through the sensor virtually undisturbed(< 1% attenuation). Pixel pitches of between 2 μm to 100 μm are commercially available. Large area devices (∼ 15 × 15 cm 2 ) have been produced. MAPS can be made radiation hard enough to befully functional after a large number of fractions. All this makes MAPS a very realistic transmission detector candidate for beam monitoring upstream of the patient. A remaining challenge for thin, upstream sensors is that the detectors are sensitive to the signal of both therapeutic photons and electron contamination. Here a method is presented to distinguish between the signal due to electrons and photons and thus provide real-time dosimetric information in very thin sensors that does not require Monte Carlo simulation of each linear accelerator treatment head. Journal Article IEEE Transactions on Radiation and Plasma Medical Sciences 4 5 637 643 Institute of Electrical and Electronics Engineers (IEEE) 2469-7311 2469-7303 2 9 2020 2020-09-02 10.1109/trpms.2020.2995059 COLLEGE NANME COLLEGE CODE Swansea University 2020-10-01T16:06:48.9692637 2020-05-19T14:42:56.0125523 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine L. Beck 1 Jaap Velthuis 2 R. F. Page 3 Richard Hugtenburg 0000-0003-0352-9607 4 C. De Sio 5 J. Pritchard 6 54276__18299__0e490b73c7b84b51ab3d9423a0fc988e.pdf 54276.pdf 2020-10-01T16:03:43.5138219 Output 1059106 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution 4.0 License (CC-BY). true eng https://creativecommons.org/licenses/by/4.0/
title	A Novel Approach to Contamination Suppression in Transmission Detectors for Radiotherapy
spellingShingle	A Novel Approach to Contamination Suppression in Transmission Detectors for Radiotherapy Jaap Velthuis Richard Hugtenburg
title_short	A Novel Approach to Contamination Suppression in Transmission Detectors for Radiotherapy
title_full	A Novel Approach to Contamination Suppression in Transmission Detectors for Radiotherapy
title_fullStr	A Novel Approach to Contamination Suppression in Transmission Detectors for Radiotherapy
title_full_unstemmed	A Novel Approach to Contamination Suppression in Transmission Detectors for Radiotherapy
title_sort	A Novel Approach to Contamination Suppression in Transmission Detectors 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	L. Beck Jaap Velthuis R. F. Page Richard Hugtenburg C. De Sio J. Pritchard
format	Journal article
container_title	IEEE Transactions on Radiation and Plasma Medical Sciences
container_volume	4
container_issue	5
container_start_page	637
publishDate	2020
institution	Swansea University
issn	2469-7311 2469-7303
doi_str_mv	10.1109/trpms.2020.2995059
publisher	Institute of Electrical and Electronics Engineers (IEEE)
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 - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str	1
active_str	0
description	The current trend in X-ray radiotherapy is to treat cancers that are in difficult locations in the body using beams with a complex intensity profile. Intensity Modulated Radiotherapy (IMRT) is a treatment which improves the dose distribution to the tumour whilst reducing the dose to healthy tissue. Such treatments administer a larger dose per treatment fraction and hence require more complex methods to verify the accuracy of the treatment delivery. Measuring beam intensity fluctuations is difficult as the beam is heavily distorted after leaving thepatient and transmission detectors will attenuate the beam and change the energy spectrum of the beam. Monolithic Active Pixel Sensors (MAPS) are ideal solid-state detectors to measure the 2D beam profile of a radiotherapy beam upstream of the patient. MAPS sensors can be made very thin (∼ 30 μm) with still very good signal-to-noise performance. This means that the beam would pass through the sensor virtually undisturbed(< 1% attenuation). Pixel pitches of between 2 μm to 100 μm are commercially available. Large area devices (∼ 15 × 15 cm 2 ) have been produced. MAPS can be made radiation hard enough to befully functional after a large number of fractions. All this makes MAPS a very realistic transmission detector candidate for beam monitoring upstream of the patient. A remaining challenge for thin, upstream sensors is that the detectors are sensitive to the signal of both therapeutic photons and electron contamination. Here a method is presented to distinguish between the signal due to electrons and photons and thus provide real-time dosimetric information in very thin sensors that does not require Monte Carlo simulation of each linear accelerator treatment head.
published_date	2020-09-02T07:54:20Z
_version_	1821391255589879808
score	11.364387

A Novel Approach to Contamination Suppression in Transmission Detectors for Radiotherapy

Similar Items