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dc.contributor.authorFast, MF
dc.contributor.authorO'Shea, TP
dc.contributor.authorNill, S
dc.contributor.authorOelfke, U
dc.contributor.authorHarris, EJ
dc.date.accessioned2016-08-26T15:52:51Z
dc.date.issued2016-08-01
dc.identifier.citationMedical physics, 2016, 43 (8), pp. 4628 - ?
dc.identifier.issn0094-2405
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/87
dc.identifier.eissn2473-4209
dc.identifier.doi10.1118/1.4955440
dc.description.abstractPURPOSE: To quantify the performance of the Clarity ultrasound (US) imaging system (Elekta AB, Stockholm, Sweden) for real-time dynamic multileaf collimator (MLC) tracking. METHODS: The Clarity calibration and quality assurance phantom was mounted on a motion platform moving with a periodic sine wave trajectory. The detected position of a 30 mm hypoechogenic sphere within the phantom was continuously reported via Clarity's real-time streaming interface to an in-house tracking and delivery software and subsequently used to adapt the MLC aperture. A portal imager measured MV treatment field/MLC apertures and motion platform positions throughout each experiment to independently quantify system latency and geometric error. Based on the measured range of latency values, a prostate stereotactic body radiation therapy (SBRT) delivery was performed with three realistic motion trajectories. The dosimetric impact of system latency on MLC tracking was directly measured using a 3D dosimeter mounted on the motion platform. RESULTS: For 2D US imaging, the overall system latency, including all delay times from the imaging and delivery chain, ranged from 392 to 424 ms depending on the lateral sector size. For 3D US imaging, the latency ranged from 566 to 1031 ms depending on the elevational sweep. The latency-corrected geometric root-mean squared error was below 0.75 mm (2D US) and below 1.75 mm (3D US). For the prostate SBRT delivery, the impact of a range of system latencies (400-1000 ms) on the MLC tracking performance was minimal in terms of gamma failure rate. CONCLUSIONS: Real-time MLC tracking based on a noninvasive US input is technologically feasible. Current system latencies are higher than those for x-ray imaging systems, but US can provide full volumetric image data and the impact of system latency was measured to be small for a prostate SBRT case when using a US-like motion input.
dc.formatPrint
dc.format.extent4628 - ?
dc.languageeng
dc.language.isoeng
dc.publisherWILEY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectProstatic Neoplasms
dc.subjectUltrasonography
dc.subjectRadiosurgery
dc.subjectRadiotherapy Dosage
dc.subjectArtifacts
dc.subjectCalibration
dc.subjectFeasibility Studies
dc.subjectEquipment Design
dc.subjectRadiometry
dc.subjectPhantoms, Imaging
dc.subjectMotion
dc.subjectTime Factors
dc.subjectSoftware
dc.subjectMale
dc.subjectFiducial Markers
dc.subjectRadiotherapy, Image-Guided
dc.titleFirst evaluation of the feasibility of MLC tracking using ultrasound motion estimation.
dc.typeJournal Article
dcterms.dateAccepted2016-06-25
rioxxterms.versionofrecord10.1118/1.4955440
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2016-08
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfMedical physics
pubs.issue8
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/Imaging for Radiotherapy Adaptation
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/Imaging for Radiotherapy Adaptation
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Radiotherapy and Imaging/Radiotherapy Physics Modelling
pubs.publication-statusPublished
pubs.volume43
pubs.embargo.termsNo embargo
pubs.oa-locationhttp://dx.doi.org/10.1118/1.4955440
icr.researchteamImaging for Radiotherapy Adaptation
icr.researchteamRadiotherapy Physics Modelling
dc.contributor.icrauthorFast, Martin
dc.contributor.icrauthorNill, Simeon
dc.contributor.icrauthorHarris, Emma


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