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Proceedings Paper

Registration of medical images by coincident bit counting
Author(s): John Yi-Wu Chiang; Barry J. Sullivan
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Paper Abstract

In this paper a new similarity measure based on the number of coincident bits in multi-channel images is presented. The similarity criterion incorporated in the image registration algorithm uses a coincident bit counting (CBC) method to obtain the number of matching bits between the frames of interest. The CBC method not only performs favorably compared with traditional techniques but also renders simpler implementation in conventional computing machines. An image registration algorithm which incorporates the CBC criterion is also proposed to determine the translational motion among sequences of images. Some experimental studies using low-contrast coronary images from a digital angiographic sequence have been performed. The results compare favorably with those obtained by using other nonparametric methods. Applications for this algorithm include digital angiography and mammography. 1.

Paper Details

Date Published: 1 March 1991
PDF: 12 pages
Proc. SPIE 1396, Applications of Optical Engineering: Proceedings of OE/Midwest '90, (1 March 1991); doi: 10.1117/12.25763
Show Author Affiliations
John Yi-Wu Chiang, Northwestern Univ. (United States)
Barry J. Sullivan, Northwestern Univ. (United States)


Published in SPIE Proceedings Vol. 1396:
Applications of Optical Engineering: Proceedings of OE/Midwest '90
Rudolph P. Guzik; Hans E. Eppinger; Richard E. Gillespie; Mary Kathryn Dubiel; James E. Pearson, Editor(s)

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