Brain imaging registration by correlation of first-order geometry
Diego A. Socolinsky, Aswin Krishnamoorthy, Lawrence B. Wolff · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
A new method is introduced for the registration of MRI and CT scans of the head, based on the first order geometry of the images. Registration is accomplished by optimal alignment of gradient vector fields between respective MRI and CT images. We show that the summation of the squared inner products of gradient vectors between images is well-behaved, having a strongly peaked maximum when images are exactly registered. This supports our premise that both magnitude and orientation of edge information are important features for image registration. A number of experimental results are presented demonstrating the accuracy of our performance.