Literature DB >> 22893674

RPE-normalized RNFL attenuation coefficient maps derived from volumetric OCT imaging for glaucoma assessment.

Koenraad A Vermeer1, Josine van der Schoot, Hans G Lemij, Johannes F de Boer.   

Abstract

PURPOSE: We present spatial retinal nerve fiber layer (RNFL) attenuation coefficient maps for healthy and glaucomatous eyes based on optical coherence tomography (OCT) measurements. Quantitative analyses of differences between healthy and glaucomatous eyes were performed.
METHODS: Peripapillary volumetric images of 10 healthy and 8 glaucomatous eyes were acquired by a Spectralis OCT system. Per A-line, the attenuation coefficient of the RNFL was determined based on a method that uses the retinal pigment epithelium as a reference layer. The attenuation coefficient describes the attenuation of light in tissue due to scattering and absorption. En-face maps were constructed and visually inspected. Differences between healthy and glaucomatous eyes were analyzed (Mann-Whitney U test), both globally (average values) and spatially (concentric and per segment).
RESULTS: RNFL attenuation coefficient maps of healthy eyes showed relatively high and uniform values. For glaucomatous eyes, the attenuation coefficients were much lower and showed local defects. Normal and glaucomatous average RNFL attenuation coefficients were highly significantly different (P < 0.0001) and fully separable. The RNFL attenuation coefficient decreased with increasing optic nerve head distance for both groups, with highly significant differences for all distances (P < 0.001). The angular dependency showed high superio- and inferiotemporal and low nasal values, with most significant differences superio- and inferiotemporally.
CONCLUSIONS: Maps of RNFL attenuation coefficients provide a novel way of assessing the health of the RNFL and are relatively insensitive to imaging artifacts affecting signal intensity. The highly significant difference between normal and glaucomatous eyes suggests using RNFL attenuation coefficient maps as a new clinical tool for diagnosing and monitoring glaucoma.

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Mesh:

Year:  2012        PMID: 22893674     DOI: 10.1167/iovs.12-9933

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  37 in total

1.  Retinal nerve fiber layer reflectometry must consider directional reflectance.

Authors:  Xiang-Run Huang; Robert W Knighton; William J Feuer; Jianzhong Qiao
Journal:  Biomed Opt Express       Date:  2015-12-04       Impact factor: 3.732

2.  Quantitative analysis of retinal layer optical intensities on three-dimensional optical coherence tomography.

Authors:  Xinjian Chen; Ping Hou; Chao Jin; Weifang Zhu; Xiaohong Luo; Fei Shi; Milan Sonka; Haoyu Chen
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-10-21       Impact factor: 4.799

Review 3.  In vivo imaging methods to assess glaucomatous optic neuropathy.

Authors:  Brad Fortune
Journal:  Exp Eye Res       Date:  2015-06-03       Impact factor: 3.467

4.  Analysis of attenuation coefficient estimation in Fourier-domain OCT of semi-infinite media.

Authors:  Babak Ghafaryasl; Koenraad A Vermeer; Jeroen Kalkman; Tom Callewaert; Johannes F de Boer; Lucas J Van Vliet
Journal:  Biomed Opt Express       Date:  2020-10-06       Impact factor: 3.732

5.  Determination of confocal profile and curved focal plane for OCT mapping of the attenuation coefficient.

Authors:  Sabina Stefan; Ki-Soo Jeong; Collin Polucha; Nikos Tapinos; Steven A Toms; Jonghwan Lee
Journal:  Biomed Opt Express       Date:  2018-10-01       Impact factor: 3.732

6.  Reflectance speckle of retinal nerve fiber layer reveals axonal activity.

Authors:  Xiang-Run Huang; Robert W Knighton; Ye Zhou; Xiao-Peng Zhao
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-04-12       Impact factor: 4.799

7.  Individual A-scan signal normalization between two spectral domain optical coherence tomography devices.

Authors:  Chieh-Li Chen; Hiroshi Ishikawa; Gadi Wollstein; Yun Ling; Richard A Bilonick; Larry Kagemann; Ian A Sigal; Joel S Schuman
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-05-17       Impact factor: 4.799

8.  Depth-resolved model-based reconstruction of attenuation coefficients in optical coherence tomography.

Authors:  K A Vermeer; J Mo; J J A Weda; H G Lemij; J F de Boer
Journal:  Biomed Opt Express       Date:  2013-12-23       Impact factor: 3.732

9.  In vivo exploration of retinal nerve fiber layer morphology in Parkinson's disease patients.

Authors:  Femke Visser; Koenraad A Vermeer; Babak Ghafaryasl; Annemarie M M Vlaar; Valentin Apostolov; Jan van Hellenberg Hubar; Henry C Weinstein; Johannes F de Boer; Henk W Berendse
Journal:  J Neural Transm (Vienna)       Date:  2018-03-08       Impact factor: 3.575

10.  Detecting glaucoma based on spectral domain optical coherence tomography imaging of peripapillary retinal nerve fiber layer: a comparison study between hand-crafted features and deep learning model.

Authors:  Ce Zheng; Xiaolin Xie; Longtao Huang; Binyao Chen; Jianling Yang; Jiewei Lu; Tong Qiao; Zhun Fan; Mingzhi Zhang
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-12-07       Impact factor: 3.117

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