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Optimizing 4-dimensional magnetic resonance imaging data sampling for respiratory motion analysis of pancreatic tumors

hal.structure.identifierImage sciences institute - University of Utrecht [ISI]
dc.contributor.authorSTEMKENS, Bjorn
hal.structure.identifierImage sciences institute - University of Utrecht [ISI]
dc.contributor.authorTIJSSEN, Rob
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierImage sciences institute - University of Utrecht [ISI]
dc.contributor.authorDENIS DE SENNEVILLE, Baudouin
hal.structure.identifierImage sciences institute - University of Utrecht [ISI]
dc.contributor.authorHEERKENS, Hanne D
hal.structure.identifierImage sciences institute - University of Utrecht [ISI]
dc.contributor.authorVAN VULPEN, Marco
hal.structure.identifierImage sciences institute - University of Utrecht [ISI]
dc.contributor.authorLAGENDIJK, Jan
hal.structure.identifierImage sciences institute - University of Utrecht [ISI]
dc.contributor.authorVAN DEN BERG, C.
dc.date.accessioned2024-04-04T03:08:58Z
dc.date.available2024-04-04T03:08:58Z
dc.date.issued2015
dc.identifier.issn0360-3016
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193573
dc.description.abstractEnPurpose: To determine the optimum sampling and binning strategy for retrospective reconstruction of 4D-MR data for non-rigid motion characterization of tumor and organs at risk for radiotherapy purposes. Material and Methods: For optimization, we compared two surrogate signals (external respiratory bellows and internal MR navigator), three binning methods (absolute amplitude, phase and a hybrid method, relative amplitude binning) and two MR sampling strategies (cartesian and radial) in terms of efficiency, image quality and robustness. Using the optimized protocol, three pancreatic cancer patients were scanned to calculate the 4D motion. ROI analysis was performed to characterize the respiratory induced motion of the tumor and organs at risk simultaneously.Results: The MRI navigator was found to be a more reliable surrogate for pancreatic motion than the respiratory bellows signal. Relative amplitude binning offered the best binning in terms of filling efficiency and intra-phase amplitude variation. Radial sampling is most benign for undersampling artifacts and intra-view motion. Motion characterization revealed inter-organ and inter-patient variation, as well as heterogeneity within the tumor. Conclusions: A robust 4D-MRI method, based on clinically available protocols, is presented and successfully applied to characterize the abdominal motion in pancreatic cancer patients.
dc.language.isoen
dc.publisherElsevier
dc.title.enOptimizing 4-dimensional magnetic resonance imaging data sampling for respiratory motion analysis of pancreatic tumors
dc.typeArticle de revue
dc.identifier.doi10.1016/j.ijrobp.2014.10.050
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halInformatique [cs]/Imagerie médicale
dc.subject.halSciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie
dc.subject.halSciences du Vivant [q-bio]/Cancer
bordeaux.journalInternational Journal of Radiation Oncology, Biology, Physics
bordeaux.page571–578
bordeaux.volume91
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue3
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01063778
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01063778v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Radiation%20Oncology,%20Biology,%20Physics&rft.date=2015&rft.volume=91&rft.issue=3&rft.spage=571%E2%80%93578&rft.epage=571%E2%80%93578&rft.eissn=0360-3016&rft.issn=0360-3016&rft.au=STEMKENS,%20Bjorn&TIJSSEN,%20Rob&DENIS%20DE%20SENNEVILLE,%20Baudouin&HEERKENS,%20Hanne%20D&VAN%20VULPEN,%20Marco&rft.genre=article


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