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Respiratory motion model based on the noise covariance matrix of a receive array

hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorANDREYCHENKO, Anna
hal.structure.identifierImagerie moléculaire et fonctionnelle: de la physiologie à la thérapie
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorDENIS DE SENNEVILLE, Baudouin
hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorNAVEST, Robin
hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorTIJSSEN, Rob H.N.
hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorLAGENDIJK, Jan J.W.
hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorVAN DEN BERG, Cornelis
dc.date.accessioned2024-04-04T03:02:48Z
dc.date.available2024-04-04T03:02:48Z
dc.date.issued2018-03
dc.identifier.issn0740-3194
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193020
dc.description.abstractEnPURPOSE:Tracking of the internal anatomy by means of a motion model that uses the MR-derived motion fields and noise covariance matrix (NCM) dynamic as a surrogate signal.METHODS:A 2D respiratory motion model was developed based on the MR-derived motion fields and the NCM of a receive array used in MRI. Temporal dynamics of the NCM were used as a motion surrogate for a linear correspondence motion model. The model performance was tested on five healthy volunteers with a liver as the target. The motion fields were calculated from the cineMR frames with an optical flow registration tool.RESULTS:The model estimated the liver motion with an average residual error of 2.3 mm (13% of the motion amplitude). The model formation takes 3 min and the model latency was 0.5 s in the current implementation. The limiting factor for the latency is the current update time of the NCM (0.48 s), which in principle can be reduced to 0.004 s with an alternative way to determine the NCM.CONCLUSIONS:The 2D respiratory motion of the liver can be effectively estimated with the linear motion model that uses the temporal behavior of the NCM as motion surrogate. Magn Reson Med 79:1730-1735, 2018. © 2017 International Society for Magnetic Resonance in Medicine
dc.language.isoen
dc.publisherWiley
dc.subject.enTracking
dc.subject.enNoise sensor
dc.subject.enRespiratory motion model
dc.subject.enNoise covariance matrix
dc.title.enRespiratory motion model based on the noise covariance matrix of a receive array
dc.typeArticle de revue
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.journalMagnetic Resonance in Medicine
bordeaux.page1730-1735
bordeaux.volume79
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-01962483
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01962483v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Magnetic%20Resonance%20in%20Medicine&rft.date=2018-03&rft.volume=79&rft.issue=3&rft.spage=1730-1735&rft.epage=1730-1735&rft.eissn=0740-3194&rft.issn=0740-3194&rft.au=ANDREYCHENKO,%20Anna&DENIS%20DE%20SENNEVILLE,%20Baudouin&NAVEST,%20Robin&TIJSSEN,%20Rob%20H.N.&LAGENDIJK,%20Jan%20J.W.&rft.genre=article


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