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Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging

Legg, P. A.; Rosin, P. L.; Marshall, D.; Morgan, J. E.


P. L. Rosin

D. Marshall

J. E. Morgan


© 2014 Elsevier Ltd. All rights reserved. Multi-modal image registration is becoming an increasingly powerful tool for medical diagnosis and treatment. The combination of different image modalities facilitates much greater understanding of the underlying condition, resulting in improved patient care. Mutual Information is a popular image similarity measure for performing multi-modal image registration. However, it is recognised that there are limitations with the technique that can compromise the accuracy of the registration, such as the lack of spatial information that is accounted for by the similarity measure. In this paper, we present a two-stage non-rigid registration process using a novel similarity measure, Feature Neighbourhood Mutual Information. The similarity measure efficiently incorporates both spatial and structural image properties that are not traditionally considered by MI. By incorporating such features, we find that this method is capable of achieving much greater registration accuracy when compared to existing methods, whilst also achieving efficient computational runtime. To demonstrate our method, we use a challenging medical image data set consisting of paired retinal fundus photographs and confocal scanning laser ophthalmoscope images. Accurate registration of these image pairs facilitates improved clinical diagnosis, and can be used for the early detection and prevention of glaucoma disease.


Legg, P., Rosin, P., Marshall, D., & Morgan, J. E. (2015). Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging. Pattern Recognition, 48(6), 1937-1946.

Journal Article Type Article
Acceptance Date Dec 17, 2014
Online Publication Date Dec 24, 2014
Publication Date 2015-06
Journal Pattern Recognition
Print ISSN 0031-3203
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 48
Issue 6
Pages 1937-1946
Keywords mutual information, feature derivatives, gauge co-ordinates, non-rigid registration, ophthalmology
Public URL
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