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Proceedings Paper

Brain imaging registration by correlation of first-order geometry
Author(s): Diego A. Socolinsky; Aswin Krishnamoorthy; Lawrence B. Wolff
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Paper 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.

Paper Details

Date Published: 21 May 1999
PDF: 8 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348644
Show Author Affiliations
Diego A. Socolinsky, Johns Hopkins Univ. (United States)
Aswin Krishnamoorthy, Johns Hopkins Univ. (United States)
Lawrence B. Wolff, Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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