Professor Phil Legg Phil.Legg@uwe.ac.uk
Professor in Cyber Security
Professor Phil Legg Phil.Legg@uwe.ac.uk
Professor in Cyber Security
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.
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 17, 2014 |
Online Publication Date | Dec 24, 2014 |
Publication Date | 2015-06 |
Publicly Available Date | Jun 6, 2019 |
Journal | Pattern Recognition |
Print ISSN | 0031-3203 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 48 |
Issue | 6 |
Pages | 1937-1946 |
DOI | https://doi.org/10.1016/j.patcog.2014.12.014 |
Keywords | mutual information, feature derivatives, gauge co-ordinates, non-rigid registration, ophthalmology |
Public URL | https://uwe-repository.worktribe.com/output/833658 |
Publisher URL | http://dx.doi.org/10.1016/j.patcog.2014.12.014 |
2014_patternrecognition.pdf
(1.6 Mb)
PDF
Visual analytics of e-mail sociolinguistics for user behavioural analysis
(2014)
Journal Article
Visualizing the insider threat: Challenges and tools for identifying malicious user activity
(2015)
Presentation / Conference Contribution
Quasi-Hamming distances: An overarching concept for measuring glyph similarity
(2015)
Presentation / Conference Contribution
Understanding insider threat: A framework for characterising attacks
(2014)
Presentation / Conference Contribution
Glyph sorting: Interactive visualization for multi-dimensional data
(2013)
Journal Article
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search