Literature DB >> 21947002

Blood oxygenation measurements by multichannel reflectometry on the venous and arterial structures of the retina.

Valentina Vucea1, Pierre-Jean Bernard, Patrick Sauvageau, Vasile Diaconu.   

Abstract

The aim of the present study was to propose a model and a method to derive the oxyhemoglobin blood content in the retinal veins and arteries by full spectrum reflectometry measurements in the spectral zone from 430 to 680 nm. We proposed a mathematical equation expressed as a linear combination of two terms S(OHb)(λ) and S(Hb)(λ) representing the normalized spectral absorption functions of the hemoglobin and the oxyhemoglobin, one term λ(-n) representing the ocular media absorption with scattering, and a family of multi-Gaussian functions, which usefully compensate for the noncompatibility of the model and the experimental data in the red spectral zone. The present paper suggests that the spectral reflection function in the area from 520 to 580 nm is optimal in calculating the oxyhemoglobin concentration of the blood contained in the endothelial structures of retinal vessels. The model calculation needs a function (1/λ)(-n) that corrects for the ocular media absorption and light scattering on the vessels' structures. For the spectral area of lights with wavelength larger than 580 nm, the reflected light represents mainly the light scattering on the red blood cells.

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Year:  2011        PMID: 21947002     DOI: 10.1364/AO.50.005185

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  7 in total

1.  Accuracy of retinal oximetry: a Monte Carlo investigation.

Authors:  Wenzhong Liu; Shuliang Jiao; Hao F Zhang
Journal:  J Biomed Opt       Date:  2013-06       Impact factor: 3.170

Review 2.  Retinal oxygen: from animals to humans.

Authors:  Robert A Linsenmeier; Hao F Zhang
Journal:  Prog Retin Eye Res       Date:  2017-01-18       Impact factor: 21.198

3.  Monte-Carlo simulation and tissue-phantom model for validation of ocular oximetry.

Authors:  Cléophace Akitegetse; Patricia Landry; Jonathan Robidoux; Nicolas Lapointe; Danny Brouard; Dominic Sauvageau
Journal:  Biomed Opt Express       Date:  2022-04-21       Impact factor: 3.562

4.  Frequency Doubling Technology Visual Field Loss in Fabry Subjects Related to Retinal Ganglion Cell Function as Explored by ERG and OSOME.

Authors:  Langis Michaud; Marie-Lou Garon; Pierre Forcier; Vasile Diaconu
Journal:  Clin Ophthalmol       Date:  2022-06-09

5.  Snapshot hyperspectral retinal camera with the Image Mapping Spectrometer (IMS).

Authors:  Liang Gao; R Theodore Smith; Tomasz S Tkaczyk
Journal:  Biomed Opt Express       Date:  2011-12-07       Impact factor: 3.732

6.  A combined method to quantify the retinal metabolic rate of oxygen using photoacoustic ophthalmoscopy and optical coherence tomography.

Authors:  Wei Song; Qing Wei; Wenzhong Liu; Tan Liu; Ji Yi; Nader Sheibani; Amani A Fawzi; Robert A Linsenmeier; Shuliang Jiao; Hao F Zhang
Journal:  Sci Rep       Date:  2014-10-06       Impact factor: 4.379

7.  Convolutional Neural Networks for Spectroscopic Analysis in Retinal Oximetry.

Authors:  Damon T DePaoli; Prudencio Tossou; Martin Parent; Dominic Sauvageau; Daniel C Côté
Journal:  Sci Rep       Date:  2019-08-06       Impact factor: 4.379

  7 in total

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