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MR-Guided Thermotherapy of Abdominal Organs Using a Robust PCA-Based Motion Descriptor

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDENIS DE SENNEVILLE, Baudouin
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.authorMACLAIR, Grégory
hal.structure.identifierImagerie moléculaire et fonctionnelle: de la physiologie à la thérapie
dc.contributor.authorMOONEN, Chrit
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/20.500.12278/193596
dc.description.abstractEnThermotherapies can now be guided in real-time using magnetic resonance imaging (MRI). This technique is rapidly gaining importance in interventional therapies for abdominal organs such as liver and kidney. An accurate on-line estimation and characterization of organ displacement is mandatory to prevent misregistration and correct for motion related thermometry artifacts. In addition, when the ablation is performed with an extracorporal heating device such as High Intensity Focused Ultrasound (HIFU), the continuous estimation of the organ displacement is the basis for the dynamic adjustment of the focal point position to track the targeted pathological tissue. In this paper, we describe the use of an optimized PCA-based motion descriptor to characterize in real-time the complex organ deformation during the therapy. The PCA was used to detect, in a preparative learning step, spatio-temporal coherences in the motion of the targeted organ. During hyperthermia, incoherent motion patterns could be discarded, which enabled improvements in motion estimation robustness, the compensation of motion related errors in thermal maps, and the adjustment of the beam position. The suggested method was evaluated for a moving phantom , and tested in-vivo in the kidney and the liver of twelve healthy volunteers under free breathing conditions. The ability to perform a MR-guided thermotherapy in-vivo during HIFU intervention was finally demonstrated on a porcine kidney.
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.enMR-Guided Thermotherapy of Abdominal Organs Using a Robust PCA-Based Motion Descriptor
dc.typeArticle de revue
dc.identifier.doi10.1109/TMI.2011.2161095
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.page1987-1995
bordeaux.volume30
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue11
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01578171
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01578171v1
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