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Improved myocardial motion estimation combining tissue Doppler and B-mode echocardiographic images

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dc.contributor.author Bijnens, Bart
dc.contributor.author Porras Pérez, Antonio Reyes
dc.contributor.author Alessandrini, Martino
dc.contributor.author De Craene, Mathieu
dc.contributor.author Duchateau, Nicolas
dc.contributor.author Sitges, Marta
dc.contributor.author Delingette, Hervé
dc.contributor.author Sermesant, Maxime
dc.contributor.author D'hooge, Jan
dc.contributor.author Frangi Caregnato, Alejandro
dc.contributor.author Piella Fenoy, Gemma
dc.date.accessioned 2017-02-27T11:55:38Z
dc.date.available 2017-02-27T11:55:38Z
dc.date.issued 2014
dc.identifier.citation Porras AR, Alessandrini M, De Craene M, Duchateau N, Sitges M, Bijnens B, Delingette H, Sermesant M, D'hooge J, Frangi AF, Piella G. Improved myocardial motion estimation combining tissue Doppler and B-mode echocardiographic images. IEEE Trans Med Imaging. 2014;33(11):2098-106. DOI: 10.1109/TMI.2014.2331392
dc.identifier.issn 0278-0062
dc.identifier.uri http://hdl.handle.net/10230/28143
dc.description.abstract We propose a technique for myocardial motion estimation based on image registration using both B-mode echocardiographic images and tissue Doppler sequences acquired interleaved. The velocity field is modeled continuously using B-splines and the spatiotemporal transform is constrained to be diffeomorphic. Images before scan conversion are used to improve the accuracy of the estimation. The similarity measure includes a model of the speckle pattern distribution of B-mode images. It also penalizes the disagreement between tissue Doppler velocities and the estimated velocity field. Registration accuracy is evaluated and compared to other alternatives using a realistic synthetic dataset, obtaining mean displacement errors of about 1 mm. Finally, the method is demonstrated on data acquired from six volunteers, both at rest and during exercise. Robustness is tested against low image quality and fast heart rates during exercise. Results show that our method provides a robust motion estimate in these situations.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof IEEE Transactions on Medical Imaging. 2014;33(11):2098-106.
dc.rights © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at http://dx.doi.org/10.1109/TMI.2014.2331392
dc.title Improved myocardial motion estimation combining tissue Doppler and B-mode echocardiographic images
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1109/TMI.2014.2331392
dc.subject.keyword Ultrasound (US)
dc.subject.keyword Echocardiography
dc.subject.keyword Free form deformation (FFD)
dc.subject.keyword Image registration
dc.subject.keyword Motion estimation
dc.subject.keyword Multi-modal integration
dc.subject.keyword Temporal diffeomorphic free form deformation (TDFFD)
dc.subject.keyword Tissue Doppler
dc.subject.keyword Doppler effect
dc.subject.keyword Imaging
dc.subject.keyword Transforms
dc.subject.keyword Splines (mathematics)
dc.subject.keyword Velocity measurement
dc.subject.keyword Transducers
dc.subject.keyword Myocardium
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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