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All Outputs (56)

Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging (2014)
Journal Article

© 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 underl... Read More about Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging.

Improving accuracy and efficiency of mutual information for multi-modal retinal image registration using adaptive probability density estimation (2013)
Journal Article

Mutual information (MI) is a popular similarity measure for performing image registration between different modalities. MI makes a statistical comparison between two images by computing the entropy from the probability distribution of the data. There... Read More about Improving accuracy and efficiency of mutual information for multi-modal retinal image registration using adaptive probability density estimation.

A robust solution to multi-modal image registration by combining mutual information with multi-scale derivatives (2009)
Presentation / Conference Contribution

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 probl... Read More about A robust solution to multi-modal image registration by combining mutual information with multi-scale derivatives.

Incorporating neighbourhood feature derivatives with Mutual Information to improve accuracy of multi-modal image registration
Presentation / Conference Contribution

In this paper we present an improved method for performing image registration of different modalities. Russakoff [1] proposed the method of Regional Mutual Information (RMI) which allows neighbourhood information to be considered in the Mutual Inform... Read More about Incorporating neighbourhood feature derivatives with Mutual Information to improve accuracy of multi-modal image registration.

Improving accuracy and efficiency of registration by mutual information using Sturges’ Histogram Rule
Presentation / Conference Contribution

Mutual Information is a common technique for image registration in the medical domain, in particular where images of different modalities are to be registered. In this paper, we wish to demonstrate the benefits of applying a common method known in st... Read More about Improving accuracy and efficiency of registration by mutual information using Sturges’ Histogram Rule.