Brain imaging registration by correlation of first-order geometry

Diego A. Socolinsky; Aswin Krishnamoorthy; Lawrence B. Wolff

doi:10.1117/12.348644

21 May 1999 Brain imaging registration by correlation of first-order geometry

Diego A. Socolinsky, Aswin Krishnamoorthy, Lawrence B. Wolff

Proceedings Volume 3661, Medical Imaging 1999: Image Processing; (1999) https://doi.org/10.1117/12.348644
Event: Medical Imaging '99, 1999, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Diego A. Socolinsky, Aswin Krishnamoorthy, and Lawrence B. Wolff "Brain imaging registration by correlation of first-order geometry", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348644

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