Monte Carlo Investigation of Optical Coherence Tomography Retinal Oximetry

Siyu Chen; Ji Yi; Wenzhong Liu; Vadim Backman; Hao F. Zhang

doi:10.1109/TBME.2015.2424689

Monte Carlo Investigation of Optical Coherence Tomography Retinal Oximetry

Siyu Chen, Ji Yi, Wenzhong Liu, Vadim Backman, Hao F. Zhang^*

^*Corresponding author for this work

Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

Optical coherence tomography (OCT) oximetry explores the possibility to measure retinal hemoglobin oxygen saturation level (sO₂). We investigated the accuracy of OCT retinal oximetry using Monte Carlo simulation in a commonly used four-layer retinal model. After we determined the appropriate number of simulated photon packets, we studied the effects of blood vessel diameter, signal sampling position, physiological sO₂ level, and the blood packing factor on the accuracy of sO₂ estimation in OCT retinal oximetry. The simulation results showed that a packing factor between 0.2 and 0.4 yields a reasonably accurate estimation of sO₂ within a 5% error tolerance, which is independent of vessel diameter and sampling position, when visible-light illumination is used in OCT. We further explored the optimal optical spectral range for OCT retinal oximetry. The simulation results suggest that visible spectral range around 560 nm is better suited than near-infrared spectral range around 800 nm for OCT oximetry to warrant accurate measurements.

Original language	English (US)
Article number	7101267
Pages (from-to)	2308-2315
Number of pages	8
Journal	IEEE Transactions on Biomedical Engineering
Volume	62
Issue number	9
DOIs	https://doi.org/10.1109/TBME.2015.2424689
State	Published - Sep 1 2015

Keywords

Monte Carlo simulation
Optical coherent tomography
Retinal oximetry

ASJC Scopus subject areas

Biomedical Engineering

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10.1109/TBME.2015.2424689

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title = "Monte Carlo Investigation of Optical Coherence Tomography Retinal Oximetry",

abstract = "Optical coherence tomography (OCT) oximetry explores the possibility to measure retinal hemoglobin oxygen saturation level (sO2). We investigated the accuracy of OCT retinal oximetry using Monte Carlo simulation in a commonly used four-layer retinal model. After we determined the appropriate number of simulated photon packets, we studied the effects of blood vessel diameter, signal sampling position, physiological sO2 level, and the blood packing factor on the accuracy of sO2 estimation in OCT retinal oximetry. The simulation results showed that a packing factor between 0.2 and 0.4 yields a reasonably accurate estimation of sO2 within a 5% error tolerance, which is independent of vessel diameter and sampling position, when visible-light illumination is used in OCT. We further explored the optimal optical spectral range for OCT retinal oximetry. The simulation results suggest that visible spectral range around 560 nm is better suited than near-infrared spectral range around 800 nm for OCT oximetry to warrant accurate measurements.",

keywords = "Monte Carlo simulation, Optical coherent tomography, Retinal oximetry",

author = "Siyu Chen and Ji Yi and Wenzhong Liu and Vadim Backman and Zhang, {Hao F.}",

note = "Publisher Copyright: {\textcopyright} 1964-2012 IEEE.",

year = "2015",

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doi = "10.1109/TBME.2015.2424689",

language = "English (US)",

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T1 - Monte Carlo Investigation of Optical Coherence Tomography Retinal Oximetry

AU - Chen, Siyu

AU - Yi, Ji

AU - Liu, Wenzhong

AU - Backman, Vadim

AU - Zhang, Hao F.

PY - 2015/9/1

Y1 - 2015/9/1

N2 - Optical coherence tomography (OCT) oximetry explores the possibility to measure retinal hemoglobin oxygen saturation level (sO2). We investigated the accuracy of OCT retinal oximetry using Monte Carlo simulation in a commonly used four-layer retinal model. After we determined the appropriate number of simulated photon packets, we studied the effects of blood vessel diameter, signal sampling position, physiological sO2 level, and the blood packing factor on the accuracy of sO2 estimation in OCT retinal oximetry. The simulation results showed that a packing factor between 0.2 and 0.4 yields a reasonably accurate estimation of sO2 within a 5% error tolerance, which is independent of vessel diameter and sampling position, when visible-light illumination is used in OCT. We further explored the optimal optical spectral range for OCT retinal oximetry. The simulation results suggest that visible spectral range around 560 nm is better suited than near-infrared spectral range around 800 nm for OCT oximetry to warrant accurate measurements.

AB - Optical coherence tomography (OCT) oximetry explores the possibility to measure retinal hemoglobin oxygen saturation level (sO2). We investigated the accuracy of OCT retinal oximetry using Monte Carlo simulation in a commonly used four-layer retinal model. After we determined the appropriate number of simulated photon packets, we studied the effects of blood vessel diameter, signal sampling position, physiological sO2 level, and the blood packing factor on the accuracy of sO2 estimation in OCT retinal oximetry. The simulation results showed that a packing factor between 0.2 and 0.4 yields a reasonably accurate estimation of sO2 within a 5% error tolerance, which is independent of vessel diameter and sampling position, when visible-light illumination is used in OCT. We further explored the optimal optical spectral range for OCT retinal oximetry. The simulation results suggest that visible spectral range around 560 nm is better suited than near-infrared spectral range around 800 nm for OCT oximetry to warrant accurate measurements.

KW - Monte Carlo simulation

KW - Optical coherent tomography

KW - Retinal oximetry

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Monte Carlo Investigation of Optical Coherence Tomography Retinal Oximetry

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Keywords

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