Automated measurements of human cone photoreceptor density in healthy and degenerative retina by region-based segmentation

Suguru Miyagawa,1,2 Hisashi Fukuyama,3 Masakazu Hirota,1 Tatsuo Yamaguchi,4 Kazuo Kitamura,4 Takao Endo,3 Hiroyuki Kanda,1 Takeshi Morimoto,1 Takashi Fujikado1 1Department of Applied Visual Science, Osaka University Graduate School of Medicine, Suita, Osaka, 2Technology Development Department Resea...

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Autores principales:	Miyagawa S, Fukuyama H, Hirota M, Yamaguchi T, Kitamura K, Endo T, Kanda H, Morimoto T, Fujikado T
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2017
Materias:	AO-SLO adaptive optics cone photoreceptor photoreceptor density retinal imaging image processing Ophthalmology RE1-994
Acceso en línea:	https://doaj.org/article/e5c65b4696994b9c98931334328fe91e
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spelling	oai:doaj.org-article:e5c65b4696994b9c98931334328fe91e2021-12-02T02:17:39ZAutomated measurements of human cone photoreceptor density in healthy and degenerative retina by region-based segmentation1177-5483https://doaj.org/article/e5c65b4696994b9c98931334328fe91e2017-04-01T00:00:00Zhttps://www.dovepress.com/automated-measurements-of-human-cone-photoreceptor-density-in-healthy--peer-reviewed-article-OPTHhttps://doaj.org/toc/1177-5483Suguru Miyagawa,1,2 Hisashi Fukuyama,3 Masakazu Hirota,1 Tatsuo Yamaguchi,4 Kazuo Kitamura,4 Takao Endo,3 Hiroyuki Kanda,1 Takeshi Morimoto,1 Takashi Fujikado1 1Department of Applied Visual Science, Osaka University Graduate School of Medicine, Suita, Osaka, 2Technology Development Department Research and Development Section, Topcon Corporation, Itabashi, Tokyo, 3Department of Ophthalmology, Osaka University Graduate School of Medicine, Suita, Osaka, 4Eye Care Technology Development Department, Product Technology Section, Topcon Corporation, Itabashi, Tokyo, Japan Purpose: The purpose of this study was to develop an algorithm based on region-based segmentation for automated calculations of human cone photoreceptor density of en face images obtained by an adaptive optics scanning laser ophthalmoscope (AOSLO). Subjects and methods: Cone mosaics of 15 eyes of 15 healthy subjects were photographed by a custom-built AOSLO. The cone density was calculated at 0.5, 1.0, and 1.5 mm temporal from the fovea using a region-based segmentation method (RSM) developed in our laboratory. The cone density was also determined by a manual identification method (MIM) and a conventional spatial filtering method (SFM). The cone densities of three eyes of three patients with retinal degeneration were calculated by the three methods and compared to the results from normal eyes. Results: The cone densities in healthy retinas determined by the RSM at 0.5, 1.0, and 1.5 mm temporal from the fovea were 28,436, 21,233, and 13,620 cells/mm2, respectively. These densities were in good agreement with a histological study and with in vivo AOSLO studies. The cone densities determined by RSM were different from those determined by MIM with a difference of 5% in healthy eyes. In eyes with retinal degeneration, with the appropriate threshold-level settings or spatial frequency bandwidth, the cone density measured by MIM was significantly closer to that measured by RSM than by SFM. Conclusion: These results suggest that our method is more stable than conventional methods in cases of non-periodical photoreceptor structures such as the affected retinal area. Our method can be used in the longitudinal follow-up of retinal degenerative diseases and to determine the effect of therapy. Keywords: AOSLO, adaptive optics, cone photoreceptor, photoreceptor density, retinal imaging, image processingMiyagawa SFukuyama HHirota MYamaguchi TKitamura KEndo TKanda HMorimoto TFujikado TDove Medical PressarticleAO-SLOadaptive opticscone photoreceptorphotoreceptor densityretinal imagingimage processingOphthalmologyRE1-994ENClinical Ophthalmology, Vol Volume 11, Pp 781-790 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	AO-SLO adaptive optics cone photoreceptor photoreceptor density retinal imaging image processing Ophthalmology RE1-994
spellingShingle	AO-SLO adaptive optics cone photoreceptor photoreceptor density retinal imaging image processing Ophthalmology RE1-994 Miyagawa S Fukuyama H Hirota M Yamaguchi T Kitamura K Endo T Kanda H Morimoto T Fujikado T Automated measurements of human cone photoreceptor density in healthy and degenerative retina by region-based segmentation
description	Suguru Miyagawa,1,2 Hisashi Fukuyama,3 Masakazu Hirota,1 Tatsuo Yamaguchi,4 Kazuo Kitamura,4 Takao Endo,3 Hiroyuki Kanda,1 Takeshi Morimoto,1 Takashi Fujikado1 1Department of Applied Visual Science, Osaka University Graduate School of Medicine, Suita, Osaka, 2Technology Development Department Research and Development Section, Topcon Corporation, Itabashi, Tokyo, 3Department of Ophthalmology, Osaka University Graduate School of Medicine, Suita, Osaka, 4Eye Care Technology Development Department, Product Technology Section, Topcon Corporation, Itabashi, Tokyo, Japan Purpose: The purpose of this study was to develop an algorithm based on region-based segmentation for automated calculations of human cone photoreceptor density of en face images obtained by an adaptive optics scanning laser ophthalmoscope (AOSLO). Subjects and methods: Cone mosaics of 15 eyes of 15 healthy subjects were photographed by a custom-built AOSLO. The cone density was calculated at 0.5, 1.0, and 1.5 mm temporal from the fovea using a region-based segmentation method (RSM) developed in our laboratory. The cone density was also determined by a manual identification method (MIM) and a conventional spatial filtering method (SFM). The cone densities of three eyes of three patients with retinal degeneration were calculated by the three methods and compared to the results from normal eyes. Results: The cone densities in healthy retinas determined by the RSM at 0.5, 1.0, and 1.5 mm temporal from the fovea were 28,436, 21,233, and 13,620 cells/mm2, respectively. These densities were in good agreement with a histological study and with in vivo AOSLO studies. The cone densities determined by RSM were different from those determined by MIM with a difference of 5% in healthy eyes. In eyes with retinal degeneration, with the appropriate threshold-level settings or spatial frequency bandwidth, the cone density measured by MIM was significantly closer to that measured by RSM than by SFM. Conclusion: These results suggest that our method is more stable than conventional methods in cases of non-periodical photoreceptor structures such as the affected retinal area. Our method can be used in the longitudinal follow-up of retinal degenerative diseases and to determine the effect of therapy. Keywords: AOSLO, adaptive optics, cone photoreceptor, photoreceptor density, retinal imaging, image processing
format	article
author	Miyagawa S Fukuyama H Hirota M Yamaguchi T Kitamura K Endo T Kanda H Morimoto T Fujikado T
author_facet	Miyagawa S Fukuyama H Hirota M Yamaguchi T Kitamura K Endo T Kanda H Morimoto T Fujikado T
author_sort	Miyagawa S
title	Automated measurements of human cone photoreceptor density in healthy and degenerative retina by region-based segmentation
title_short	Automated measurements of human cone photoreceptor density in healthy and degenerative retina by region-based segmentation
title_full	Automated measurements of human cone photoreceptor density in healthy and degenerative retina by region-based segmentation
title_fullStr	Automated measurements of human cone photoreceptor density in healthy and degenerative retina by region-based segmentation
title_full_unstemmed	Automated measurements of human cone photoreceptor density in healthy and degenerative retina by region-based segmentation
title_sort	automated measurements of human cone photoreceptor density in healthy and degenerative retina by region-based segmentation
publisher	Dove Medical Press
publishDate	2017
url	https://doaj.org/article/e5c65b4696994b9c98931334328fe91e
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Automated measurements of human cone photoreceptor density in healthy and degenerative retina by region-based segmentation

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