Abstract—We developed an elastic registration approach tocompute cardiac motion by analysis of 3D ultrasound imagesequences. The main principles applied here were themodeling of the unknown spatial deformations between twosuccessive views by B-splines, and the minimization of a costfunction derived by a maximum likelihood techniqueapplied to the log-speckle noise. Numerical results matchedquite well the patient specific geometric models of the mitralvalve annulus generated by splines based on 3D imagetagging by cardiologists.

Index Terms—speckle tracking, B-spline, image registration

Cite: Yipeng Li and Junhua Chen, "Dynamic Speckle Tracking Based on B-spline Model," International Journal of Signal Processing Systems,  Vol. 1, No. 1, pp. 103-106,  June 2013. doi: 10.12720/ijsps.1.1.103-106