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PCA-Based Image Registration : Application to On-Line MR Temperature Monitoring of Moving Tissues

hal.structure.identifierImagerie moléculaire et fonctionnelle: de la physiologie à la thérapie
dc.contributor.authorMACLAIR, Gregory
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDENIS DE SENNEVILLE, Baudouin
dc.contributor.authorRIES, Michal
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorDESBARATS, Pascal
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorBENOIS-PINEAU, Jenny
dc.contributor.authorMOONEN, Chrit
dc.date.accessioned2024-04-04T03:11:48Z
dc.date.available2024-04-04T03:11:48Z
dc.date.issued2007-09-16
dc.date.conference2007-09-10
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193806
dc.description.abstractEnReal-time magnetic resonance (MR) thermometry provides continuous temperature mapping inside the human body and is therefore a promising tool to monitor and control interventional therapies based on thermal ablation. Temperature information must be mapped to a reference position of observed organs in order to allow thermal dose computation, as the history of temperature is required for each pixel. Motion compensated MR-thermometry for thermotherapy has to cope with radio-frequency (RF) artifacts and relaxation-time changes of the monitored tissue. While purely optical-flow-based realignment may lead to temperature map computation errors for the case of local or global intensity changes, principal component analysis based realignment results in accurately registered temperature maps. The motion estimation process described in this paper consists of two steps : a parameterized flow models is initially computed using a principal component analysis during a preparative learning step; during the intervention, motion is characterized with a small set of parameters using a least square solver.
dc.language.isoen
dc.publisherIEEE
dc.source.titleImage Processing, 2007. ICIP 2007. IEEE International Conference on
dc.subject.enPrincipal Component Analysis
dc.subject.enMagnetic Resonance Imaging
dc.subject.enReal-time
dc.subject.enTemperature control
dc.subject.enMotion compensation
dc.title.enPCA-Based Image Registration : Application to On-Line MR Temperature Monitoring of Moving Tissues
dc.typeCommunication dans un congrès
dc.identifier.doi10.1109/ICIP.2007.4379266
dc.subject.halInformatique [cs]/Multimédia [cs.MM]
dc.subject.halInformatique [cs]
dc.subject.halSciences de l'ingénieur [physics]
bordeaux.pageIII-141-III-144
bordeaux.volume6
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.title2007 IEEE International Conference on Image Processing
bordeaux.countryUS
bordeaux.title.proceedingImage Processing, 2007. ICIP 2007. IEEE International Conference on
bordeaux.conference.citySan Antonio, TX
bordeaux.peerReviewedoui
hal.identifierhal-01438617
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2007-10-19
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01438617v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Image%20Processing,%202007.%20ICIP%202007.%20IEEE%20International%20Conference%20on&rft.date=2007-09-16&rft.volume=6&rft.spage=III-141-III-144&rft.epage=III-141-III-144&rft.au=MACLAIR,%20Gregory&DENIS%20DE%20SENNEVILLE,%20Baudouin&RIES,%20Michal&DESBARATS,%20Pascal&BENOIS-PINEAU,%20Jenny&rft.genre=unknown


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