Improvement and validation of high precision ocular oximetry using a convolutional neural network algorithm and a phantom eye

J Desroches, D DePaoli, N Lapointe… - Acta …, 2019 - Wiley Online Library
Retinal oximetry is a non‐invasive imaging technology that enables the measurement of
oxygen saturation (StO2) in the eye fundus. The goal of this research was to validate a
convolutional neural network (CNN) algorithm designed to calculate and improve the
precision of StO2 measurements from diffuse reflectance spectra (DRS) taken on the optic
nerve head (ONH). Zilia's multi‐wavelength retinal oximetry device was used to acquire
experimental spectra from the ONH which allowed us to simulate reasonable digital spectra …

Improvement and validation of high precision ocular oximetry using a convolutional neural network algorithm and a phantom eye

DT DePaoli, N Lapointe, P Tossou… - … & Visual Science, 2019 - iovs.arvojournals.org
Purpose: Retinal oximetry is a non-invasive imaging technology that enables the
measurement of oxygen saturation (SO 2) in the eye fundus. The goal of this research was to
validate a convolutional neural network (CNN) algorithm designed to calculate and improve
the precision of SO 2 measurements from diffuse reflectance spectra (DRS) taken on the
optic nerve head (ONH). Methods: The ocular oximetry device developed by Zilia was used
to acquire diffuse reflectance spectra (DRS) on several ONH-mimicking liquid optical …
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