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hal.structure.identifierLaboratoire d'Informatique Gaspard-Monge [LIGM]
dc.contributor.authorMOREL, Paul
hal.structure.identifierDepartment of Electrical and Computer Engineering [Iowa]
hal.structure.identifierDepartment of Radiation Oncology [University of Iowa]
dc.contributor.authorWU, Xiadong
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorBLIN, Guillaume
hal.structure.identifierLaboratoire d'Informatique Gaspard-Monge [LIGM]
dc.contributor.authorVIALETTE, Stéphane
hal.structure.identifierDepartment of Radiation Oncology [University of Iowa]
dc.contributor.authorFLYNN, Ryan
hal.structure.identifierDepartment of Radiation Oncology [University of Iowa]
dc.contributor.authorHYER, Daniel
hal.structure.identifierDepartment of Radiation Oncology [University of Iowa]
dc.contributor.authorWANG, Dongxu
dc.date.accessioned2024-04-15T09:57:05Z
dc.date.available2024-04-15T09:57:05Z
dc.date.issued2015-05
dc.identifier.issn2234-943X
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/198886
dc.description.abstractEnPurpose: This study describes a real-time spot weight adaptation method in spot-scanning proton therapy for moving target or moving patient, so that the resultant dose distribution closely matches the planned dose distribution.Materials and methods: The method proposed in this study adapts the weight (MU) of the delivering pencil beam to that of the target spot; it will actually hit during patient/target motion. The target spot that a certain delivering pencil beam may hit relies on patient monitoring and/or motion modeling using four-dimensional (4D) CT. After the adapted delivery, the required total weight [Monitor Unit (MU)] for this target spot is then subtracted from the planned value. With continuous patient motion and continuous spot scanning, the planned doses to all target spots will eventually be all fulfilled. In a proof-of-principle test, a lung case was presented with realistic temporal and motion parameters; the resultant dose distribution using spot weight adaptation was compared to that without using this method. The impact of the real-time patient/target position tracking or prediction was also investigated.Results: For moderate motion (i.e., mean amplitude 0.5 cm), D95% to the planning target volume (PTV) was only 81.5% of the prescription (RX) dose; with spot weight adaptation PTV D95% achieves 97.7% RX. For large motion amplitude (i.e., 1.5 cm), without spot weight adaptation PTV D95% is only 42.9% of RX; with spot weight adaptation, PTV D95% achieves 97.7% RX. Larger errors in patient/target position tracking or prediction led to worse final target coverage; an error of 3 mm or smaller in patient/target position tracking is preferred.Conclusion: The proposed spot weight adaptation method was able to deliver the planned dose distribution and maintain target coverage when patient motion was involved. The successful implementation of this method would rely on accurate monitoring or prediction of patient/target motion.
dc.description.sponsorshipRéseaux biologiques, Radiothérapie et Structures - ANR-10-JCJC-0209
dc.language.isoen
dc.publisherFrontiers
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.title.enSpot Weight Adaptation for Moving Target in Spot Scanning Proton Therapy
dc.typeArticle de revue
dc.identifier.doi10.3389/fonc.2015.00119
dc.subject.halInformatique [cs]
dc.subject.halPhysique [physics]/Physique Nucléaire Théorique [nucl-th]
bordeaux.journalFrontiers in Oncology
bordeaux.page1-7
bordeaux.volume5
bordeaux.hal.laboratoriesLaboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800*
bordeaux.issue119
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01151923
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01151923v1
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