2022
DOI: 10.1364/boe.458079
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Monte-Carlo simulation and tissue-phantom model for validation of ocular oximetry

Abstract: Ocular oximetry, in which blood oxygen saturation is evaluated in retinal tissues, is a promising technique for the prevention, diagnosis and management of many diseases and conditions. However, the development of new tools for evaluating oxygen saturation in the eye fundus has often been limited by the lack of reference tools or techniques for such measurements. In this study, we describe a two-step validation method. The impact of scattering, blood volume fraction and lens yellowing on the oximetry model is … Show more

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Cited by 9 publications
(8 citation statements)
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“…This was performed as a demonstration of a concrete application stemming from targeted spectral analysis and not as a validation of ocular oximetry per se. StO2 was calculated based on previously described methods 26 , 32 for each acquired spectrum and averaged over the acquisition at a specific location for each subject. The difference in average StO2 in the parafovea (Fig.…”
Section: Resultsmentioning
confidence: 99%
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“…This was performed as a demonstration of a concrete application stemming from targeted spectral analysis and not as a validation of ocular oximetry per se. StO2 was calculated based on previously described methods 26 , 32 for each acquired spectrum and averaged over the acquisition at a specific location for each subject. The difference in average StO2 in the parafovea (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…An ocular oximetry algorithm, previously developed for the determination of blood oxygen saturation in the tissues of the eye fundus (StO2), 26 was used to process diffuse reflectance spectra acquired in vivo . This algorithm is based on the modified Beer–Lambert law and includes contributions from erythrocyte light scattering, 28 a scaling term, retinal melanin, the crystalline lens, oxyhemoglobin, and deoxyhemoglobin.…”
Section: Methodsmentioning
confidence: 99%
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“…In fact, spectra from the ONH displayed a stronger contribution from hemoglobin components; the nerve fibers, which are the main constituents of the ONH [57] act as diffusers for the main local absorber, which is hemoglobin. The thickness of the different layers of the eye fundus, the contribution of the choroid and the photoreceptor cell density are other factors that can contribute to spectral variations between regions [29].…”
Section: Discussionmentioning
confidence: 99%
“…Data acquired from human subjects underwent additional processing to derive oxygen saturation (StO2). The process for correcting spectra and calculating oxygen saturation has been described elsewhere [29].…”
Section: Data Processingmentioning
confidence: 99%