Study of Medical Image Mutual Information Registration Method Speedups the Optimized Process
Xiying Li · Acta Scientiarum Naturalium Universitatis Sunyatseni · 2005
A new medical image mutual information registration method, which can speedup the optimized process is proposed for CT and MR medical image auto rigid Registration. This algorithm uses mathematic morphology method to extract the boundary of registration images at first, and then calculates the floating image's centroid coordinates and the angles of rotation through principal axes algorithm. At last, the method uses these coordinates and angles as the initial parameters of the optimized process, then finds the best transformation values. This algorithm computes simply and with little time. The clinicians demonstrate that the registrated and fusion images of CT and MR images reach the need of clinical diagnosis, and can help diagnose more correctly.