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9 October 2021 Quantification of blood flow and oxygen saturation based on multiwavelength diffuse correlation spectroscopy
Zhe Li, Minnan Jiang, Jinchao Feng, Kebin Jia
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Proceedings Volume 11900, Optics in Health Care and Biomedical Optics XI; 119002U (2021) https://doi.org/10.1117/12.2602129
Event: SPIE/COS Photonics Asia, 2021, Nantong, JS, China
Abstract
Diffuse correlation spectroscopy (DCS) derives blood flow index (BFI) by measuring the temporal intensity fluctuations of multiply scattered light. Blood flow index (BFI) and especially its variations were demonstrated to be approximately proportional to absolute blood flow. In this paper, we have proposed a predictive method for calculating blood flow as well as oxygen saturation, based on a deep neural network of long short-term memory (LSTM) architecture. The simulated multiwavelength normalized intensity autocorrelation function data for various blood flows and oxygen saturations were used to train the LSTM architecture. The results validated the feasibility of the proposed method for quantification of blood flow and oxygen saturation simultaneously in DCS. The proposed approach would be an alternative method for oxygen metabolism monitoring.
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Zhe Li, Minnan Jiang, Jinchao Feng, and Kebin Jia "Quantification of blood flow and oxygen saturation based on multiwavelength diffuse correlation spectroscopy", Proc. SPIE 11900, Optics in Health Care and Biomedical Optics XI, 119002U (9 October 2021); https://doi.org/10.1117/12.2602129
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KEYWORDS
Blood circulation
Oxygen
Spectroscopy
Data modeling
Tissues
Light scattering
Neural networks
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