Porras, A. R. Alessandrini, Martino × De Craene, Mathieu Duchateau, Nicholas Sitges, M. Bijnens, B. H. Delingette, H. Sermesant, M. D'hooge, Jan Frangi, A. F. Piella, Gema #
Institute of Electrical and Electronics Engineers
IEEE Transactions on Medical Imaging vol:33 issue:11 pages:2098-2106
We propose a technique formyocardial motion estimation based on image registration using both B-mode echocardiographic images and tissue Dopplersequences acquired interleaved.
The velocityfield 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
velocityfield. 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. Robustnessis tested against low image quality
and fast heart rates during exercise. Results show that our method
provides a robust motion estimate in these situations.