X-Ray Beam Segment Size and Entrance Location Effects on the Integral Quality Monitor (IQM®) Signal and Usefulness in Predicting Complex Segment Output Signals.
Fluence
Integral Quality Monitor
Output Signal
Response Map
Journal
Journal of biomedical physics & engineering
ISSN: 2251-7200
Titre abrégé: J Biomed Phys Eng
Pays: Iran
ID NLM: 101589641
Informations de publication
Date de publication:
Aug 2020
Aug 2020
Historique:
received:
15
04
2019
accepted:
12
06
2019
entrez:
18
8
2020
pubmed:
18
8
2020
medline:
18
8
2020
Statut:
epublish
Résumé
The Integral Quality Monitor (IQM®) is an independent online dosimetry device attached to the treatment machine to monitor the accuracy of radiation delivery. This study investigates the influence of beam segment size and displacement as projected onto the IQM chamber on the signals and determine how individual signals can be added to get a combined segment signal made up of smaller segments. This is an experimental original research type of study. IQM response maps were generated by irradiating the IQM sensitive area with small elementary segments and measuring their corresponding signals per monitor unit (MU). The output signal/MU was measured for regular and irregular fields and compared with the predicted signal/MU obtained from decomposing the open segment into a set of smaller regular segments and summing their signals from their respective response maps. The dependence of signals on segment size, shape, location and combination was investigated. Predicted signals were calculated within 95-98 % accuracy for regular fields and 90-98% for irregular fields. More uniform fluence contain distribution for larger segments was observed. Response maps were consistent with the geometrical symmetry in the chamber's wedge shape and the symmetry in the linac fluence. The field decomposition method allows the pre-calculation of known segment output signals per MU within 2% error, although the accuracy drops significantly for smaller, irregular fields. A method of correcting predicted signals in smaller segments needs to be laid down to get a better match with measured signals.
Sections du résumé
BACKGROUND
BACKGROUND
The Integral Quality Monitor (IQM®) is an independent online dosimetry device attached to the treatment machine to monitor the accuracy of radiation delivery.
OBJECTIVE
OBJECTIVE
This study investigates the influence of beam segment size and displacement as projected onto the IQM chamber on the signals and determine how individual signals can be added to get a combined segment signal made up of smaller segments.
MATERIAL AND METHODS
METHODS
This is an experimental original research type of study. IQM response maps were generated by irradiating the IQM sensitive area with small elementary segments and measuring their corresponding signals per monitor unit (MU). The output signal/MU was measured for regular and irregular fields and compared with the predicted signal/MU obtained from decomposing the open segment into a set of smaller regular segments and summing their signals from their respective response maps. The dependence of signals on segment size, shape, location and combination was investigated.
RESULTS
RESULTS
Predicted signals were calculated within 95-98 % accuracy for regular fields and 90-98% for irregular fields. More uniform fluence contain distribution for larger segments was observed. Response maps were consistent with the geometrical symmetry in the chamber's wedge shape and the symmetry in the linac fluence.
CONCLUSION
CONCLUSIONS
The field decomposition method allows the pre-calculation of known segment output signals per MU within 2% error, although the accuracy drops significantly for smaller, irregular fields. A method of correcting predicted signals in smaller segments needs to be laid down to get a better match with measured signals.
Identifiants
pubmed: 32802788
doi: 10.31661/jbpe.v0i0.1162
pii: JBPE-10-4
pmc: PMC7416101
doi:
Types de publication
Journal Article
Langues
eng
Pagination
395-410Informations de copyright
Copyright: © Journal of Biomedical Physics and Engineering.
Références
Phys Med Biol. 1998 Oct;43(10):2703-8
pubmed: 9814510
Radiol Phys Technol. 2012 Jan;5(1):63-70
pubmed: 22038312
J Appl Clin Med Phys. 2012 Mar 08;13(2):3725
pubmed: 22402389
Med Phys. 2012 May;39(5):2544-58
pubmed: 22559625
Radiother Oncol. 2010 May;95(2):158-65
pubmed: 20138379
Med Phys. 2013 Jul;40(7):072104
pubmed: 23822448
Appl Radiat Isot. 2014 Jan;83 Pt A:8-11
pubmed: 24215812
J Appl Clin Med Phys. 2017 Jan;18(1):40-48
pubmed: 28291937
Radiother Oncol. 2016 May;119(2):351-6
pubmed: 27090736
Appl Radiat Isot. 1999 Jan;50(1):125-36
pubmed: 10028632
Comput Math Methods Med. 2017;2017:7025281
pubmed: 28928795
Med Phys. 2009 Dec;36(12):5420-8
pubmed: 20095254
Med Phys. 2011 Mar;38(3):1459-67
pubmed: 21520857
Med Phys. 2015 Apr;42(4):1528-37
pubmed: 25832043
Phys Med Biol. 2014 Oct 21;59(20):R303-47
pubmed: 25229250
J Appl Clin Med Phys. 2012 Nov 08;13(6):3994
pubmed: 23149793
Med Phys. 2014 Aug;41(8):081717
pubmed: 25086527