Title
Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging.
Abstract
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.
Year
DOI
Venue
2015
10.1016/j.patcog.2014.12.014
Pattern Recognition
Keywords
Field
DocType
Mutual information,Feature derivatives,Gauge co-ordinates,Non-rigid registration,Ophthalmology
Spatial analysis,Convergence (routing),Similarity measure,Feature detection (computer vision),Computer science,Artificial intelligence,Kanade–Lucas–Tomasi feature tracker,Computer vision,Pattern recognition,Mutual information,Machine learning,Image registration,Medical diagnosis
Journal
Volume
Issue
ISSN
48
6
0031-3203
Citations 
PageRank 
References 
3
0.36
10
Authors
4
Name
Order
Citations
PageRank
Philip A. Legg115611.55
Paul L. Rosin22559254.25
D. Marshall330.36
James E. Morgan4393.67