Tomography image co-registration algorithm based on principle of mechanics decomposition

In order to obtain medical images with fused information by means of co-registration, the frame of the image to be co-registered was explained as composed of a set of forces in the contour based on the principle of mechanics decomposition, and then the mechanics projection weight of the image was described as two rows of periodic signals that have angle delay to each other and have no relations to their location shift. By choosing the minimal mean square error of the two rows of signals as target function, the transform parameters of the two images were obtained through the modified particle swarm optimization algorithm. The co-registration result in brain MR image shows that the mechanics image target function is less time consuming than other target functions when the optimization method is identical and the registration error is limited within one pixel.