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Automatic Non-Rigid Calibration of Image Registration for Real Time MR-guided HIFU ablations of mobile organs

hal.structure.identifierImagerie moléculaire et fonctionnelle: de la physiologie à la thérapie
dc.contributor.authorROUJOL, Sébastien
hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorRIES, Mario
hal.structure.identifierImagerie moléculaire et fonctionnelle: de la physiologie à la thérapie
dc.contributor.authorMOONEN, Chrit
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDENIS DE SENNEVILLE, Baudouin
dc.date.accessioned2024-04-04T03:09:20Z
dc.date.available2024-04-04T03:09:20Z
dc.date.issued2011
dc.identifier.issn0278-0062
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193595
dc.description.abstractEnReal time magnetic resonance imaging (MRI) is rapidly gaining importance in interventional therapies. An accurate motion estimation is required for mobile targets, and can be conveniently addressed using an image registration algorithm. Since the adaptation of the control parameters of the algorithm depends on the application (targeted organ, location of the tumor, slice orientation, ...), typically an individual calibration is required. However, the assessment of the estimated motion accuracy is difficult since the real target motion is unknown. In this paper, existing criteria based only on anatomical image similarity are demonstrated to be inadequate. A new criterion is introduced, which is based on the local magnetic field distribution. The proposed criterion was used to assess, during a preparative calibration step, the optimal configuration of an image registration algorithm derived from the Horn and Schunck method. The accuracy of the proposed method was evaluated in a moving phantom experiment, which allows the comparison with the known motion pattern and to established criteria based on anatomical images. The usefulness of the method for the calibration of optical-flow based algorithms was also demonstrated in-vivo under conditions similar to thermo-ablation for the abdomen of twelve volunteers. In average over all volunteers, a resulting displacement error of 1.5 mm was obtained (largest observed error equal to 4-5 mm) using a criterion based on anatomical image similarity. A better average accuracy of 1 mm was achieved using the proposed criterion (largest observed error equal to 2 mm). In both kidney and liver, the proposed criterion was shown to provide motion field accuracy in the range of the best achievable.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.subject.enImage registration
dc.subject.enMotion analysis
dc.subject.enMotion compensation
dc.subject.enMagnetic resonance imaging
dc.title.enAutomatic Non-Rigid Calibration of Image Registration for Real Time MR-guided HIFU ablations of mobile organs
dc.typeArticle de revue
dc.identifier.doi10.1109/TMI.2011.2144615
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
dc.subject.halSciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie
bordeaux.journalIEEE Transactions on Medical Imaging
bordeaux.page1737-1745
bordeaux.volume30
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue10
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01578179
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01578179v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IEEE%20Transactions%20on%20Medical%20Imaging&rft.date=2011&rft.volume=30&rft.issue=10&rft.spage=1737-1745&rft.epage=1737-1745&rft.eissn=0278-0062&rft.issn=0278-0062&rft.au=ROUJOL,%20S%C3%A9bastien&RIES,%20Mario&MOONEN,%20Chrit&DENIS%20DE%20SENNEVILLE,%20Baudouin&rft.genre=article


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