Focal Loss Analysis of Nerve Fiber Layer Reflectance for Glaucoma Diagnosis
Ou Tan (1), Liang Liu (1), Qisheng You (1), Jie Wang (1), Aiyin Chen, (1), Eliesa Ing (1), John C. Morrison (1), Yali Jia (1), David Huang (1) ((1), Casey Eye Institute, Oregon Health & Science University)

TL;DR
This study demonstrates that azimuthal filtering improves NFL reflectance measurement repeatability and that focal NFL reflectance loss provides superior glaucoma diagnostic accuracy compared to traditional NFL thickness metrics.
Contribution
The paper introduces a novel azimuthal filtering method for NFL reflectance maps and shows its effectiveness in enhancing glaucoma detection accuracy.
Findings
Azimuthal filtering reduces NFL reflectance measurement variability.
Focal NFL reflectance loss outperforms NFL thickness in glaucoma diagnosis.
Reflectance maps help localize NFL defects.
Abstract
Purpose: To evaluate nerve fiber layer (NFL) reflectance for glaucoma diagnosis. Methods: Participants were imaged with 4.5X4.5-mm volumetric disc scans using spectral-domain optical coherence tomography (OCT). The normalized NFL reflectance map was processed by an azimuthal filter to reduce directional reflectance bias due to variation of beam incidence angle. The peripapillary area of the map was divided into 160 superpixels. Average reflectance was the mean of superpixel reflectance. Low-reflectance superpixels were identified as those with NFL reflectance below the 5 percentile normative cutoff. Focal reflectance loss was measure by summing loss in low-reflectance superpixels. Results: Thirty-five normal, 30 pre-perimetric and 35 perimetric glaucoma participants were enrolled. Azimuthal filtering improved the repeatability of the normalized NFL reflectance, as measured by the pooled…
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