Interpolation Algorithm Research for Medical Image Registration

Abstract

Owing to its property of applying multi-modality imaging information into the clinical usage has the Medical Image Registration been the research focus. The gray nearest neighbor interpolation and bilinear interpolation and cubic convolution interpolation method is used for medical image interpolation algorithm. It compares the characteristics of the three gray interpolations. Combined with the characteristics of the above algorithm is proposed based on gray-scale pixel intensity interpolation. The algorithm can be improved in the time and registration accuracy. It combined with the improved optimization algorithm in the proposed image registration of the simulation experiment, experimental precision subpixel image to verify the validity of the method.