A Robust Solution to Multi-modal Image Registration by Combining Mutual Information with Multi-scale Derivatives

Legg, Philip Alexander, Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884, Marshall, Andrew David ORCID: https://orcid.org/0000-0003-2789-1395 and Morgan, James Edwards ORCID: https://orcid.org/0000-0002-8920-1065 2009. A Robust Solution to Multi-modal Image Registration by Combining Mutual Information with Multi-scale Derivatives. Lecture Notes in Computer Science 5761 , pp. 616-623. 10.1007/978-3-642-04268-3_76

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Abstract

In this paper we present a novel method for performing image registration of different modalities. Mutual Information (MI) is an established method for performing such registration. However, it is recognised that standard MI is not without some problems, in particular it does not utilise spatial information within the images. Various modifications have been proposed to resolve this, however these only offer slight improvement to the accuracy of registration. We present Feature Neighbourhood Mutual Information (FNMI) that combines both image structure and spatial neighbourhood information which is efficiently incorporated into Mutual Information by approximating the joint distribution with a covariance matrix (c.f. Russakoff’s Regional Mutual Information). Results show that our approach offers a very high level of accuracy that improves greatly on previous methods. In comparison to Regional MI, our method also improves runtime for more demanding registration problems where a higher neighbourhood radius is required. We demonstrate our method using retinal fundus photographs and scanning laser ophthalmoscopy images, two modalities that have received little attention in registration literature. Registration of these images would improve accuracy when performing demarcation of the optic nerve head for detecting such diseases as glaucoma.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics Medicine Optometry and Vision Sciences Systems Immunity Research Institute (SIURI)
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Additional Information:	Proceedings of the Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009 conference
Publisher:	Springer Verlag
ISSN:	0302-9743
Last Modified:	18 Oct 2022 13:30
URI:	https://orca.cardiff.ac.uk/id/eprint/14172

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