On an architecture of medical image registration system based on multiple-valued logic

This paper proposes an architecture of a registration system for medical images. Image registration is the process of determining correspondence between all points in two images of the same scene, and is now widely used to medical images. In medical imaging, segmentation, registration and interpolation play primary roles. In those registration is the most time consuming task because we must compare all voxel data and then evaluate the matching degree many times. Quantitative evaluation criterion of matching degree with multiple-valued coding of the image feature is proposed, and an architecture to save the processing time of the data comparison is described. Finally, as a practical application, we describe the summary of a registration of human brain MR volume data to diagnose brain disease.