DocumentCode :
1441346
Title :
Aligning Scan Acquisition Circles in Optical Coherence Tomography Images of The Retinal Nerve Fibre Layer
Author :
Zhu, Haogang ; Crabb, David P. ; Schlottmann, Patricio G. ; Wollstein, Gadi ; Garway-Heath, David F.
Author_Institution :
Dept. of Optometry & Visual Sci., City Univ. London, London, UK
Volume :
30
Issue :
6
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
1228
Lastpage :
1238
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 number 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.
Keywords :
biomedical optical imaging; data acquisition; eye; image registration; medical image processing; neurophysiology; optical tomography; OCT images; data acquisition; expectation-maximization algorithm; feature extraction; glaucoma; image registration algorithm; image scan acquisition circles; irreversible visual impairment; optical coherence tomography images; probabilistic modelling; retinal nerve fibre layer thickness measuement; Biomedical measurements; Equations; Mathematical model; Optical fibers; Protocols; Retina; Expectation-maximization; image registration; optical coherence tomography; probabilistic modelling; scan circle alignment; Algorithms; Glaucoma; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Nerve Fibers; Optic Disk; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Tomography, Optical Coherence;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/TMI.2011.2109962
Filename :
5706369
Link To Document :
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