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hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorSUTTER, O.
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
hal.structure.identifierEIGSI La Rochelle [EIGSI ]
dc.contributor.authorVOYER, D.
hal.structure.identifierCentre hospitalier universitaire de Poitiers = Poitiers University Hospital [CHU de Poitiers [La Milétrie]]
hal.structure.identifierLaboratoire de Traitement de l'Information Medicale [LaTIM]
dc.contributor.authorTASU, J.-P.
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorPOIGNARD, C.
dc.date.accessioned2024-04-04T02:31:46Z
dc.date.available2024-04-04T02:31:46Z
dc.date.issued2023
dc.identifier.issn0018-9294
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190331
dc.description.abstractEnIn this paper we investigate the possibility of using needles, which the interventional radiologist inserts near a deep-seated tumor during an electroporation-based therapy, to characterize the electrical conductivity of patient's tissues. Specifically, we propose to exploit voltage/current measurements and imaging that are performed prior to the application of electroporation pulses. The approach is partly based on the concepts of electrical impedance tomography; however, imaging is used to build a specific geometric model and compensate for the lack of information resulting from the small number of electrodes available. 3D canonical and clinical examples, where a few electrodes surround a tumor, demonstrate the feasibility of this method: solving the inverse problem to estimate tissues conductivity converges in a few iterations. For a given error on the measurement, it is also possible to calculate the error on the estimated conductivities. The uncertainty error with clinical data is at best 5% for one of the tissues identified, due to the limitations of the clinical device used. Various improvements to clinical devices are discussed to make the conductivity estimation more accurate but also to extract more information.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enElectrical impedance tomography
dc.subject.enTumors
dc.subject.enConductivity Problem
dc.subject.enImaging
dc.subject.enNeedles
dc.subject.enElectroporation
dc.subject.enDC electrical conductivity
dc.title.enHow impedance measurements and imaging can be used to characterize the conductivity of tissues during the workflow of an electroporation-based therapy
dc.typeArticle de revue
dc.identifier.doi10.1109/TBME.2023.3336193
dc.subject.halSciences de l'ingénieur [physics]/Electromagnétisme
dc.subject.halMathématiques [math]/Equations aux dérivées partielles [math.AP]
bordeaux.journalIEEE Transactions on Biomedical Engineering
bordeaux.page1-9
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-04361148
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04361148v1
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