Optical Flow Computation Based Medical Motion Estimation of Cardiac Ultrasound Imaging

OF (optical flow) Computation is widely used in image registration, motion analyzing, and motion object detection. This paper employs OF computation in estimating the motion of cardiac ultrasound imaging. The OF computation is achieved by a method called LSF (least squares formulation). In sufficiently small region of interest in the image plane and small time interval, the OF vector can be formulated as a linear least square method. Preventing the imaging is ill-conditioned, we improve the LSF method by adding the concept of regularization. Since this improving, we can greatly reduce the appearance of ill OF vector. The experiments are consisted of three groups trials: the previous two trials are based on simulation imaging, and the last one is based on real cardiac ultrasound imaging. The motion vector is finally expressed in Vector diagram. This method has better accuracy than MSAD (minimum sum of absolute difference).