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dc.contributor.authorCosta, F
dc.contributor.authorDoran, SJ
dc.contributor.authorHanson, IM
dc.contributor.authorNill, S
dc.contributor.authorBillas, I
dc.contributor.authorShipley, D
dc.contributor.authorDuane, S
dc.contributor.authorAdamovics, J
dc.contributor.authorOelfke, U
dc.date.accessioned2018-03-19T12:52:22Z
dc.date.issued2018-02-26
dc.identifier.citationPhysics in medicine and biology, 2018, 63 (5), pp. 05NT01 - ?
dc.identifier.issn0031-9155
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/1602
dc.identifier.eissn1361-6560
dc.identifier.doi10.1088/1361-6560/aaaca2
dc.description.abstractDosimetric quality assurance (QA) of the new Elekta Unity (MR-linac) will differ from the QA performed of a conventional linac due to the constant magnetic field, which creates an electron return effect (ERE). In this work we aim to validate PRESAGE® dosimetry in a transverse magnetic field, and assess its use to validate the research version of the Monaco TPS of the MR-linac. Cylindrical samples of PRESAGE® 3D dosimeter separated by an air gap were irradiated with a cobalt-60 unit, while placed between the poles of an electromagnet at 0.5 T and 1.5 T. This set-up was simulated in EGSnrc/Cavity Monte Carlo (MC) code and relative dose distributions were compared with measurements using 1D and 2D gamma criteria of 3% and 1.5 mm. The irradiation conditions were adapted for the MR-linac and compared with Monaco TPS simulations. Measured and EGSnrc/Cavity simulated profiles showed good agreement with a gamma passing rate of 99.9% for 0.5 T and 99.8% for 1.5 T. Measurements on the MR-linac also compared well with Monaco TPS simulations, with a gamma passing rate of 98.4% at 1.5 T. Results demonstrated that PRESAGE® can accurately measure dose and detect the ERE, encouraging its use as a QA tool to validate the Monaco TPS of the MR-linac for clinically relevant dose distributions at tissue-air boundaries.
dc.formatElectronic
dc.format.extent05NT01 - ?
dc.languageeng
dc.language.isoeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectRadiotherapy Dosage
dc.subjectRadiotherapy Planning, Computer-Assisted
dc.subjectMonte Carlo Method
dc.subjectPhantoms, Imaging
dc.subjectParticle Accelerators
dc.subjectGamma Rays
dc.subjectMagnetic Fields
dc.subjectRadiation Dosimeters
dc.titleInvestigating the effect of a magnetic field on dose distributions at phantom-air interfaces using PRESAGE® 3D dosimeter and Monte Carlo simulations.
dc.typeJournal Article
dcterms.dateAccepted2018-02-02
rioxxterms.versionofrecord10.1088/1361-6560/aaaca2
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2018-02-26
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfPhysics in medicine and biology
pubs.issue5
pubs.notesNo embargo
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Magnetic Resonance
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy Physics Modelling
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Magnetic Resonance
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy Physics Modelling
pubs.publication-statusPublished
pubs.volume63
pubs.embargo.termsNo embargo
icr.researchteamMagnetic Resonanceen_US
icr.researchteamRadiotherapy Physics Modellingen_US
dc.contributor.icrauthorDoran, Simonen
dc.contributor.icrauthorNill, Simeonen
dc.contributor.icrauthorOelfke, Uween
dc.contributor.icrauthorCosta, Filipaen


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