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Optimizing 4D abdominal MRI: image denoising using an iterative back-projection approach

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorDENIS DE SENNEVILLE, Baudouin
hal.structure.identifierCentre de résonance magnétique des systèmes biologiques [CRMSB]
dc.contributor.authorCARDIET, Colleen Rosalie
hal.structure.identifierCentre de résonance magnétique des systèmes biologiques [CRMSB]
dc.contributor.authorTROTIER, Aurelien
hal.structure.identifierCentre de résonance magnétique des systèmes biologiques [CRMSB]
dc.contributor.authorRIBOT, Emeline
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorLAFITTE, Luc
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorFACQ, Laurent
hal.structure.identifierCentre de résonance magnétique des systèmes biologiques [CRMSB]
dc.contributor.authorMIRAUX, Sylvain
IDREF: 150967047
dc.date2019-11-12
dc.date.accessioned2021-10-07T16:29:46Z
dc.date.available2021-10-07T16:29:46Z
dc.date.issued2019-11-12
dc.identifier.issn0031-9155
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/112667
dc.description.abstractEn4D-MRI is a promising tool for organ exploration, target delineation and treatment planning. Intra-scan motion artifacts may be greatly reduced by increasing the imaging frame rate. However, poor signal-to-noise ratios (SNR) are observed when increasing spatial and/or frame number per physiological cycle, in particular in the abdomen. In the current work, the proposed 4D-MRI method favored spatial resolution, frame number, isotropic voxels and large field-of-view (FOV) during MR-acquisition. The consequential SNR penalty in the reconstructed data is addressed retrospectively using an iterative back-projection (IBP) algorithm. Practically, after computing individual spatial 3D deformations present in the images using a deformable image registration (DIR) algorithm, each 3D image is individually enhanced by fusing several successive frames in its local temporal neighborood, these latter being likely to cover common independent informations. A tuning parameter allows one to freely readjust the balance between temporal resolution and precision of the 4D-MRI. The benefit of the method was quantitatively evaluated on the thorax of 6 mice under free breathing using a clinically acceptable duration. Improved 4D cardiac imaging was also shown in the heart of 1 mice. Obtained results are compared to theoretical expectations and discussed. The proposed implementation is easily parallelizable and optimized 4D-MRI could thereby be obtained with a clinically acceptable duration.
dc.language.isoen
dc.publisherIOP Publishing
dc.subject.enIterative back- projection
dc.subject.enDenoising
dc.subject.en4D-MRI
dc.subject.enAbdominal MRI
dc.subject.enCardiopulmonary MRI
dc.title.enOptimizing 4D abdominal MRI: image denoising using an iterative back-projection approach
dc.typeArticle de revue
dc.identifier.doi10.1088/1361-6560/ab563e
dc.subject.halSciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie
bordeaux.journalPhysics in Medicine and Biology
bordeaux.hal.laboratoriesCentre de Résonance Magnétique des Systèmes Biologiques (CRMSB) - UMR 5536*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-02367839
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02367839v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Physics%20in%20Medicine%20and%20Biology&rft.date=2019-11-12&rft.eissn=0031-9155&rft.issn=0031-9155&rft.au=DENIS%20DE%20SENNEVILLE,%20Baudouin&CARDIET,%20Colleen%20Rosalie&TROTIER,%20Aurelien&RIBOT,%20Emeline&LAFITTE,%20Luc&rft.genre=article


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