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Real-time non-rigid target tracking for ultrasound-guided clinical interventions

hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorZACHIU, Cornel
hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorRIES, Mario
hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorRAMAEKERS, Pascal
hal.structure.identifierImasonic SAS [Voray sur l’Ognon]
dc.contributor.authorGUEY, Jean-Luc
hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorMOONEN, Chrit T. W.
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
hal.structure.identifierUniversity Medical Center [Utrecht] [UMCU]
dc.contributor.authorDENIS DE SENNEVILLE, Baudouin
dc.date.accessioned2024-04-04T03:02:45Z
dc.date.available2024-04-04T03:02:45Z
dc.date.issued2017-10-21
dc.identifier.issn0031-9155
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193016
dc.description.abstractEnBiological motion is a problem for non-or mini-invasive interventions when conducted in mobile/deformable organs due to the targeted pathology moving/deforming with the organ. This may lead to high miss rates and/or incomplete treatment of the pathology. Therefore, real-time tracking of the target anatomy during the intervention would be beneficial for such applications. Since the aforementioned interventions are often conducted under B-mode ultrasound (US) guidance, target tracking can be achieved via image registration, by comparing the acquired US images to a separate image established as positional reference. However, such US images are intrinsically altered by speckle noise, introducing incoherent gray-level intensity variations. This may prove problematic for existing intensity-based registration methods. In the current study we address US-based target tracking by employing the recently proposed EVolution registration algorithm. The method is, by construction, robust to transient gray-level intensities. Instead of directly matching image intensities, EVolution aligns similar contrast patterns in the images. Moreover, the displacement is computed by evaluating a matching criterion for image sub-regions rather than on a point-by-point basis, which typically provides more robust motion estimates. However, unlike similar previously published approaches, which assume rigid displacements in the image sub-regions, the EVolution algorithm integrates the matching criterion in a global functional, allowing the estimation of an elastic dense deformation. The approach was validated for soft tissue tracking under free-breathing conditions on the abdomen of 7 healthy volunteers. Contact echography was performed on all volunteers, while 3 of the volunteers also underwent standoff echography. Each of the two modalities is predominantly specific to a particular type of non-or mini-invasive clinical intervention. The method demonstrated on average an accuracy of ∼1.5 mm and submillimeter precision. This, together with a computational performance of 20 images/s make the proposed method an attractive solution for real-time target tracking during US-guided clinical interventions.
dc.language.isoen
dc.publisherIOP Publishing
dc.subject.enDeformable image registration
dc.subject.enUltrasound-guidance
dc.subject.enReal-time system
dc.title.enReal-time non-rigid target tracking for ultrasound-guided clinical interventions
dc.typeArticle de revue
dc.identifier.doi10.1088/1361-6560/aa8c66
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.journalPhysics in Medicine and Biology
bordeaux.page8154 - 8177
bordeaux.volume62
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue20
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01617624
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01617624v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Physics%20in%20Medicine%20and%20Biology&rft.date=2017-10-21&rft.volume=62&rft.issue=20&rft.spage=8154%20-%208177&rft.epage=8154%20-%208177&rft.eissn=0031-9155&rft.issn=0031-9155&rft.au=ZACHIU,%20Cornel&RIES,%20Mario&RAMAEKERS,%20Pascal&GUEY,%20Jean-Luc&MOONEN,%20Chrit%20T.%20W.&rft.genre=article


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