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      Quantified elasticity mapping of retinal layers using synchronized acoustic radiation force optical coherence elastography

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          Abstract

          Age-related macular degeneration (AMD) is the leading cause of blindness in the elderly (over the age of 60 years) in western countries. In the early stages of the disease, structural changes may be subtle and cannot be detected. Recently it has been postulated that the mechanical properties of the retina may change with the onset of AMD. In this manuscript, we present a novel, non-invasive means that utilizes synchronized acoustic radiation force optical coherence elastography (ARF-OCE) to measure and estimate the elasticity of cadaver porcine retina. Both regions near the optic nerve and in the peripheral retina were studied. An acoustic force is exerted on the tissue for excitation and the resulting tissue vibrations, often in the nanometer scale, are detected with high-resolution optical methods. Segmentation has been performed to isolate individual layers and the Young’s modulus has been estimated for each. The results have been successfully compared and mapped to corresponding histological results using H&E staining. Finally, 64 elastograms of the retina were analyzed, as well as the elastic properties, with stiffness ranging from 1.3 to 25.9 kPa in the ganglion to the photoreceptor sides respectively. ARF-OCE allows for the elasticity mapping of anatomical retinal layers. This imaging approach needs further evaluation but has the potential to allow physicians to gain a better understanding of the elasticity of retinal layers in retinal diseases such as AMD.

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          Age-related macular degeneration

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            Intraretinal layer segmentation of macular optical coherence tomography images using optimal 3-D graph search.

            Current techniques for segmenting macular optical coherence tomography (OCT) images have been 2-D in nature. Furthermore, commercially available OCT systems have only focused on segmenting a single layer of the retina, even though each intraretinal layer may be affected differently by disease. We report an automated approach for segmenting (anisotropic) 3-D macular OCT scans into five layers. Each macular OCT dataset consisted of six linear radial scans centered at the fovea. The six surfaces defining the five layers were identified on each 3-D composite image by transforming the segmentation task into that of finding a minimum-cost closed set in a geometric graph constructed from edge/regional information and a priori determined surface smoothness and interaction constraints. The method was applied to the macular OCT scans of 12 patients (24 3-D composite image datasets) with unilateral anterior ischemic optic neuropathy (AION). Using the average of three experts' tracings as a reference standard resulted in an overall mean unsigned border positioning error of 6.1 +/- 2.9 microm, a result comparable to the interobserver variability (6.9 +/- 3.3 microm). Our quantitative analysis of the automated segmentation results from AION subject data revealed that the inner retinal layer thickness for the affected eye was 24.1 microm (21%) smaller on average than for the unaffected eye (p < 0.001), supporting the need for segmenting the layers separately.
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              A comparison of the elastic properties of human choroid and sclera.

              Multiple strips of choroid (56) and sclera (64) from eight pairs of human eye-bank eyes were subjected to simple tension in a test apparatus to determine the rigidity (modulus of elasticity) of these tissues. The modulus of elasticity of the chorodial complex (choroid-Bruch's membrane-pigment epithelium) was significantly greater in posteriorly located samples than in anteriorly located ones (7.5 +/- 7.0 vs. 2.2 +/- 1.5 x 10(5) N m-2, mean +/- S.D.). The modulus of elasticity for the complex averaged across all locations was 6.0 +/- 2.8 x 10(5) N m-2 and the average stress at failure was 3.3 +/- 1.3 x 10(5) N m-2. The modulus of elasticity for scleral strips also varied with location and averaged 2.9 +/- 1.4 x 10(6) N m-2 for anterior sclera and 1.8 +/- 1.1 x 10(6) N m-2 for posterior sclera at stress levels ranging from 20- to 260 x 10(4) N m-2. There was a significant correlation of scleral stiffness with age (P less than 0.05, r = 0.80). The elastic properties of the choroidal complex may be relevant to the pathogenesis of a variety of ocular diseases, including macular degeneration, angioid streaks, choroidal folds, and choroidal ruptures.
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                Author and article information

                Journal
                Biomed Opt Express
                Biomed Opt Express
                BOE
                Biomedical Optics Express
                Optical Society of America
                2156-7085
                02 August 2018
                01 September 2018
                02 August 2018
                : 9
                : 9
                : 4054-4063
                Affiliations
                [1 ]Beckman Laser Institute, University of California, Irvine, 1002 Health Sciences Road East, Irvine, CA 92612, USA
                [2 ]USC Roski Eye Institute & Institute for Biomedical Therapeutics, University of Southern California, Los Angeles, CA 90033, USA
                [3 ]NIH Ultrasonic Transducer Resource Center, Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA
                [4 ]First two authors contributed equally to this work.
                [5 ] z2chen@ 123456uci.edu
                [6 ] qifazhou@ 123456usc.edu
                Article
                331043
                10.1364/BOE.9.004054
                6157789
                30615733
                4d74f647-6cac-4464-a5cd-714f46734347
                © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

                © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

                History
                : 08 May 2018
                : 25 June 2018
                : 04 July 2018
                Funding
                Funded by: Air Force Office of Scientific Research (AFOSR) 10.13039/100000181
                Award ID: FA9550-17-1-0193
                Funded by: National Institutes of Health (NIH) 10.13039/100000002
                Award ID: F31EY-027666
                Award ID: P41EB-015890
                Award ID: R01EY-026091
                Award ID: R01EY-028662
                Award ID: R01HL-125084
                Award ID: R01HL-127271
                Award ID: T32HL-116270
                Categories
                Article
                Custom metadata

                Vision sciences
                Vision sciences

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