Aligning scan acquisition circles in optical coherence tomography images of the retinal nerve fibre layer

Zhu, H., Crabb, D. P., Schlottmann, P. G., Wollstein, G. & Garway-Heath, D. F. (2011). Aligning scan acquisition circles in optical coherence tomography images of the retinal nerve fibre layer. IEEE Transactions on Medical Imaging, 30(6), pp. 1228-1238. doi: 10.1109/TMI.2011.2109962

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Abstract

Optical coherence tomography (OCT) is widely used in the assessment of retinal nerve fibre layer thickness (RNFLT) in glaucoma. Images are typically acquired with a circular scan around the optic nerve head. Accurate registration of OCT scans is essential for measurement reproducibility and longitudinal examination. This study developed and evaluated a special image registration algorithm to align the location of the OCT scan circles to the vessel features in the retina using probabilistic modelling that was optimised by an expectation-maximization algorithm. Evaluation of the method on 18 patients undergoing large numbers of scans indicated improved data acquisition and better reproducibility of measured RNFLT when scanning circles were closely matched. The proposed method enables clinicians to consider the RNFLT measurement and its scan circle location on the retina in tandem, reducing RNFLT measurement variability and assisting detection of real change of RNFLT in the longitudinal assessment of glaucoma.

Item Type: Article
Additional Information: © 2011 Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords: Image registration, probabilistic modelling, expectation-maximization, optical coherence tomography, scan circle alignment
Subjects: R Medicine > RE Ophthalmology
Divisions: School of Health Sciences > Department of Optometry & Visual Science
URI: http://openaccess.city.ac.uk/id/eprint/3329

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