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An overlap invariant entropy measure of 3D medical image alignment

Studholme, C; Hill, DLG; Hawkes, DJ; (1999) An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition , 32 (1) pp. 71-86. 10.1016/S0031-3203(98)00091-0.

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Abstract

This paper is concerned with the development of entropy-based registration criteria for automated 3D multi-modality medical image alignment. In this application where misalignment can be large with respect to the imaged field of view, invariance to overlap statistics is an important consideration. Current entropy measures are reviewed and a normalised measure is proposed which is simply the ratio of the sum of the marginal entropies and the joint entropy. The effect of changing overlap on current entropy measures and this normalised measure are compared using a simple image model and experiments on clinical image data. Results indicate that the normalised entropy measure provides significantly improved behaviour over a range of imaged fields of view. © 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

Type: Article
Title: An overlap invariant entropy measure of 3D medical image alignment
DOI: 10.1016/S0031-3203(98)00091-0
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/157807
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