Show simple item record

dc.contributor.authorGlitzner, M
dc.contributor.authorFast, MF
dc.contributor.authorde Senneville, BD
dc.contributor.authorNill, S
dc.contributor.authorOelfke, U
dc.contributor.authorLagendijk, JJW
dc.contributor.authorRaaymakers, BW
dc.contributor.authorCrijns, SPM
dc.date.accessioned2016-11-25T10:27:02Z
dc.date.issued2017-01-07
dc.identifier.citationPhysics in medicine and biology, 2017, 62 (1), pp. 186 - 201
dc.identifier.issn0031-9155
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/311
dc.identifier.eissn1361-6560
dc.identifier.doi10.1088/1361-6560/62/1/186
dc.description.abstractIn radiotherapy, abdominal and thoracic sites are candidates for performing motion tracking. With real-time control it is possible to adjust the multileaf collimator (MLC) position to the target position. However, positions are not perfectly matched and position errors arise from system delays and complicated response of the electromechanic MLC system. Although, it is possible to compensate parts of these errors by using predictors, residual errors remain and need to be compensated to retain target coverage. This work presents a method to statistically describe tracking errors and to automatically derive a patient-specific, per-segment margin to compensate the arising underdosage on-line, i.e. during plan delivery. The statistics of the geometric error between intended and actual machine position are derived using kernel density estimators. Subsequently a margin is calculated on-line according to a selected coverage parameter, which determines the amount of accepted underdosage. The margin is then applied onto the actual segment to accommodate the positioning errors in the enlarged segment. The proof-of-concept was tested in an on-line tracking experiment and showed the ability to recover underdosages for two test cases, increasing [Formula: see text] in the underdosed area about [Formula: see text] and [Formula: see text], respectively. The used dose model was able to predict the loss of dose due to tracking errors and could be used to infer the necessary margins. The implementation had a running time of 23 ms which is compatible with real-time requirements of MLC tracking systems. The auto-adaptivity to machine and patient characteristics makes the technique a generic yet intuitive candidate to avoid underdosages due to MLC tracking errors.
dc.formatPrint-Electronic
dc.format.extent186 - 201
dc.languageeng
dc.language.isoeng
dc.publisherIOP PUBLISHING LTD
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectRadiotherapy Planning, Computer-Assisted
dc.subjectMotion
dc.subjectTime Factors
dc.subjectAutomation
dc.subjectPatient Positioning
dc.subjectRadiotherapy Setup Errors
dc.titleReal-time auto-adaptive margin generation for MLC-tracked radiotherapy.
dc.typeJournal Article
dcterms.dateAccepted2016-11-25
rioxxterms.versionofrecord10.1088/1361-6560/62/1/186
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2017-01
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfPhysics in medicine and biology
pubs.issue1
pubs.notes6 months
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/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/Radiotherapy Physics Modelling
pubs.publication-statusPublished
pubs.volume62
pubs.embargo.terms6 months
icr.researchteamRadiotherapy Physics Modelling
dc.contributor.icrauthorFast, Martin
dc.contributor.icrauthorNill, Simeon


Files in this item

Thumbnail

This item appears in the following collection(s)

Show simple item record

https://creativecommons.org/licenses/by/4.0
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0