Automatic noise robust registration of radiographs for subtraction using strategic local correlation: an application to radiographs of dental implants

Abstract

We have developed an automatic registration method without using the manual selection of landmarks. By restricting a geometrical matching of images to a region of interest (ROI), we compare the cross-correlation coefficient only between the ROIs. The transform parameters satisfying maximum of cross-correlation between the local regions are searched iteratively by a fast searching strategy. The developed method can match the images corrupted by Gaussian noise with the same accuracy for the images without any transform simulation. The application of the developed method to radiographs of dental implants provides an automatic noise robust registration with high accuracy in almost real time.