2011
DOI: 10.1117/12.892826
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Optimized retinal nerve fiber layer segmentation based on optical reflectivity and birefringence for polarization-sensitive optical coherence tomography

Abstract: Segmentation of the retinal nerve fiber layer (RNFL) from swept source polarization-sensitive optical coherence tomography (SS-PSOCT) images is required to determine RNFL thickness and calculate birefringence. Traditional RNFL segmentation methods based on image processing and boundary detection algorithms utilize only optical reflectivity contrast information, which is strongly affected by speckle noise. We present a novel approach to segment the retinal nerve fiber layer (RNFL) using SS-PSOCT images includin… Show more

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Cited by 2 publications
(2 citation statements)
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“…A LABVIEW software program (National Instruments, Austin, Texas) was implemented for the OCT system to automatically detect RNFL boundaries in each B-scan of continuous ring scans [ 25 , 26 ]. After RNFL boundary detection, an expert on OCT retinal image evaluation visually inspected the boundaries overlaid on each B-scan to correct any misidentified boundaries.…”
Section: Methodsmentioning
confidence: 99%
“…A LABVIEW software program (National Instruments, Austin, Texas) was implemented for the OCT system to automatically detect RNFL boundaries in each B-scan of continuous ring scans [ 25 , 26 ]. After RNFL boundary detection, an expert on OCT retinal image evaluation visually inspected the boundaries overlaid on each B-scan to correct any misidentified boundaries.…”
Section: Methodsmentioning
confidence: 99%
“…17 A-scans in each cluster were averaged to reduce speckle noise, with the assumption that RNFL boundaries are changing slowly in each small cluster. A thresholding procedure was applied on these averaged A-scans to provide an initial guess of the vitreous-RNFL boundary location.…”
Section: Rnfl Thickness Measurementsmentioning
confidence: 99%