Spatiotemporal non-rigid image registration for 3D ultrasound cardiac motion estimation

D. Loeckx; J. Ector; F. Maes; J. D'hooge; D. Vandermeulen; J.-U. Voigt; H. Heidbüchel; P. Suetens

doi:10.1117/12.710061

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12 March 2007 Spatiotemporal non-rigid image registration for 3D ultrasound cardiac motion estimation

D. Loeckx, J. Ector, F. Maes, J. D'hooge, D. Vandermeulen, J.-U. Voigt, H. Heidbüchel, P. Suetens

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Proceedings Volume 6513, Medical Imaging 2007: Ultrasonic Imaging and Signal Processing; 65130X (2007) https://doi.org/10.1117/12.710061
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

We present a new method to evaluate 4D (3D + time) cardiac ultrasound data sets by nonrigid spatio-temporal image registration. First, a frame-to-frame registration is performed that yields a dense deformation field. The deformation field is used to calculate local spatiotemporal properties of the myocardium, such as the velocity, strain and strain rate. The field is also used to propagate particular points and surfaces, representing e.g. the endo-cardial surface over the different frames. As such, the 4D path of these point is obtained, which can be used to calculate the velocity by which the wall moves and the evolution of the local surface area over time. The wall velocity is not angle-dependent as in classical Doppler imaging, since the 4D data allows calculating the true 3D motion. Similarly, all 3D myocardium strain components can be estimated. Combined they result in local surface area or volume changes which van be color-coded as a measure of local contractability. A diagnostic method that strongly benefits from this technique is cardiac motion and deformation analysis, which is an important aid to quantify the mechanical properties of the myocardium.

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D. Loeckx, J. Ector, F. Maes, J. D'hooge, D. Vandermeulen, J.-U. Voigt, H. Heidbüchel, and P. Suetens "Spatiotemporal non-rigid image registration for 3D ultrasound cardiac motion estimation", Proc. SPIE 6513, Medical Imaging 2007: Ultrasonic Imaging and Signal Processing, 65130X (12 March 2007); https://doi.org/10.1117/12.710061

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