Affine medical image alignment algorithm
Gong Peng · Journal of Natural Science of Heilongjiang University · 2004
An affine alignment algorithm is proposed for the processing of medical images. The reference image is segmented into groups according to the gray scale of pixels of the medical image. Supposedly the pixels with the same gray scale are segmented into the same group, the study image is segmented in the same way. The study image is processed iteratively by the affine transformation in order to minimize the standard variance of pixels in the same group. Finally, the pixels of the original images can be matched properly. Because the total intensity information of each pixel is used in the algorithm, it is not necessary to perform other image processings, such as de -noising. So the original information of the image could be kept as much as possible. The affine transformation algorithm can be used to correct the rigid and non-rigid displacement. The algorithm is applicable to the mono-and multi - modality image fusion.