2013
DOI: 10.1167/iovs.12-11327
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Enhancement of Lamina Cribrosa Visibility in Optical Coherence Tomography Images Using Adaptive Compensation

Abstract: Adaptive compensation provided significant improvement compared to standard compensation by eliminating noise overamplification at high depth and improving the visibility of the posterior LC boundary. These improvements were performed while maintaining all other benefits of compensation, such as shadow removal and contrast enhancement. Adaptive compensation will help further our efforts to characterize in vivo ONH biomechanics for the diagnosis and monitoring of glaucoma.

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Cited by 110 publications
(99 citation statements)
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“…6(b), this operation resulted in decreased brightness in most regions of the images. When subjective viewability matters more than the linearity of the operation, it may be effective to apply nonlinear image processing for contrast enhancement such as adjustment of dynamic range, gamma correction and adaptive methods [67,68].…”
Section: Discussionmentioning
confidence: 99%
“…6(b), this operation resulted in decreased brightness in most regions of the images. When subjective viewability matters more than the linearity of the operation, it may be effective to apply nonlinear image processing for contrast enhancement such as adjustment of dynamic range, gamma correction and adaptive methods [67,68].…”
Section: Discussionmentioning
confidence: 99%
“…1). 29,30 Measurement was performed by using a manual caliper tool in the Amira software (version 5.2.2; Visage Imaging, Berlin, Germany) at seven selected Bscan images spaced equidistantly across the vertical optic disc diameter in each eye. These seven B-scan lines were defined as planes 1 to 7 (top to bottom in Fig.…”
Section: Quantification Of Posterior Bowing Of the Lcmentioning
confidence: 99%
“…Adaptive compensation is an OCT postprocessing technique that removes shadows and enhances contrast. It has been shown to significantly improve visibility of the anterior LC, its insertions, and other ocular structures [29][30][31][32] (Figs. 1A, 1B).…”
Section: Image Delineationmentioning
confidence: 99%