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Proceedings Paper

Voxel similarity measures for automated image registration
Author(s): Derek L.G. Hill; Colin Studholme; David John Hawkes
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Paper Abstract

We present the concept of the feature space sequence: 2D distributions of voxel features of two images generated at registration and a sequence of misregistrations. We provide an explanation of the structure seen in these images. Feature space sequences have been generated for a pair of MR image volumes identical apart from the addition of Gaussian noise to one, MR image volumes with and without Gadolinium enhancement, MR and PET-FDG image volumes and MR and CT image volumes, all of the head. The structure seen in the feature space sequences was used to devise two new measures of similarity which in turn were used to produce plots of cost versus misregistration for the 6 degrees of freedom of rigid body motion. One of these, the third order moment of the feature space histogram, was used to register the MR image volumes with and without Gadolinium enhancement. These techniques have the potential for registration accuracy to within a small fraction of a voxel or resolution element and therefore interpolation errors in image transformation can be the dominant source of error in subtracted images. We present a method for removing these errors using sinc interpolation and show how interpolation errors can be reduced by over two orders of magnitude.

Paper Details

Date Published: 9 September 1994
PDF: 12 pages
Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); doi: 10.1117/12.185180
Show Author Affiliations
Derek L.G. Hill, Guy's and St. Thomas' Hospitals (United Kingdom)
Colin Studholme, Guy's and St. Thomas' Hospitals (United Kingdom)
David John Hawkes, Guy's and St. Thomas' Hospitals (United Kingdom)

Published in SPIE Proceedings Vol. 2359:
Visualization in Biomedical Computing 1994
Richard A. Robb, Editor(s)

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