Tracking Carotid Artery Wall Motion Using an Unscented Kalman Filter and Data Fusion

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dc.contributor.authorDorazil, Jancs
dc.contributor.authorRepp, Renecs
dc.contributor.authorKropfreiter, Thomascs
dc.contributor.authorPrüller, Richardcs
dc.contributor.authorŘíha, Kamilcs
dc.contributor.authorHlawatsch, Franzcs
dc.coverage.issue1cs
dc.coverage.volume8cs
dc.date.issued2020-12-01cs
dc.description.abstractAnalyzing the motion of the common carotid artery (CCA) wall yields effective indicators for atherosclerosis. In this work, we propose a state-space model and a tracking method for estimating the time-varying CCA wall radius from a B-mode ultrasound sequence of arbitrary length. We employ an unscented Kalman filter that fuses two sets of measurements produced by an optical flow algorithm and a CCA wall localization algorithm. This fusion-and-tracking approach ensures that feature drift, which tends to impair optical flow based methods, is compensated in a temporally consistent manner. Simulation results show that the proposed method outperforms a recently proposed optical flow based method.en
dc.formattextcs
dc.format.extent222506-222519cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationIEEE Access. 2020, vol. 8, issue 1, p. 222506-222519.en
dc.identifier.doi10.1109/ACCESS.2020.3041796cs
dc.identifier.issn2169-3536cs
dc.identifier.orcid0000-0002-3974-0597cs
dc.identifier.orcid0000-0002-6196-5215cs
dc.identifier.other167451cs
dc.identifier.urihttp://hdl.handle.net/11012/196465
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofIEEE Accesscs
dc.relation.urihttps://doi.org/10.1109/ACCESS.2020.3041796cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2169-3536/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectAtherosclerosisen
dc.subjectdata fusionen
dc.subjectunscented Kalman Filteren
dc.subjectmotion estimationen
dc.subjectultrasonographyen
dc.subjectcarotid arteryen
dc.subjectmedical imagingen
dc.subjectultrasound imagingen
dc.titleTracking Carotid Artery Wall Motion Using an Unscented Kalman Filter and Data Fusionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-167451en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:42:11en
sync.item.modts2025.01.17 18:39:26en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
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