Time Domain Diffuse Correlation Spectroscopy for Detecting Human Brain Function: Optimize System on Real Experimental Conditions by Simulation Method
In order to achieve high-sensitivity time-domain diffuse correlation spectroscopy (TD-DCS) measurement of functional changes in cerebral blood flow, this study applied simulation methods to optimize the TD-DCS system under real experimental conditions (including the consideration of the effects of f...
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doaj-363471abaa2a4eafbfbbd735d3378a642021-07-05T23:00:07ZengIEEEIEEE Photonics Journal1943-06552021-01-011341910.1109/JPHOT.2021.30896359456094Time Domain Diffuse Correlation Spectroscopy for Detecting Human Brain Function: Optimize System on Real Experimental Conditions by Simulation MethodLina Qiu0https://orcid.org/0000-0001-5733-1992Tingzhen Zhang1Wen Huang2Weiting Sun3Xiaoyin Wu4Huiwen Sun5Fang Lin6Jun Li7https://orcid.org/0000-0001-6968-8657School of Software, South China Normal University, Guangzhou, Guangdong, ChinaSouth China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, Guangdong, ChinaSouth China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, Guangdong, ChinaSouth China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, Guangdong, ChinaSouth China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, Guangdong, ChinaSouth China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, Guangdong, ChinaSouth China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, Guangdong, ChinaSouth China Academy of Advanced Optoelectronics, and Key Lab for Behavioral Economic Science and Technology, South China Normal University, Guangzhou, Guangdong, ChinaIn order to achieve high-sensitivity time-domain diffuse correlation spectroscopy (TD-DCS) measurement of functional changes in cerebral blood flow, this study applied simulation methods to optimize the TD-DCS system under real experimental conditions (including the consideration of the effects of finite coherence length <inline-formula><tex-math notation="LaTeX">${L_C}$</tex-math></inline-formula> and non-ideal instrument response function IRF). Under a real experimental condition where the incident power is 75 mW, the source-detector distance is 1.0 cm, and the full width at half maxima of the IRF is 160 ps, we used simulation experiments to investigate the relationship between the contrast of the intensity autocorrelation function (<inline-formula><tex-math notation="LaTeX">${g_2}$</tex-math></inline-formula>) in two brain functional states (i.e., baseline and activation) and TD-DCS system parameters (including <inline-formula><tex-math notation="LaTeX">${L_C}$</tex-math></inline-formula>, IRF, source-detector distance, gate opening time and gate width).Our simulation results show that both longer <inline-formula><tex-math notation="LaTeX">${L_C}$</tex-math></inline-formula> and longer integration time are beneficial to a more sensitive detection. With a fixed <inline-formula><tex-math notation="LaTeX">${L_C}$</tex-math></inline-formula> and integration time, the optimal parameters of gate opening time is 800 ps (relative to the peak time of IRF), and gate width is equal to or larger than 800 ps. This study may be useful for guiding the sensitive measurement of human brain functions (e.g., changes in cerebral blood flow) using the TD-DCS technology.https://ieeexplore.ieee.org/document/9456094/Time domain diffuse correlation spectroscopysimulationsystem optimizationbrain functional detectionsensitivity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lina Qiu Tingzhen Zhang Wen Huang Weiting Sun Xiaoyin Wu Huiwen Sun Fang Lin Jun Li |
spellingShingle |
Lina Qiu Tingzhen Zhang Wen Huang Weiting Sun Xiaoyin Wu Huiwen Sun Fang Lin Jun Li Time Domain Diffuse Correlation Spectroscopy for Detecting Human Brain Function: Optimize System on Real Experimental Conditions by Simulation Method IEEE Photonics Journal Time domain diffuse correlation spectroscopy simulation system optimization brain functional detection sensitivity |
author_facet |
Lina Qiu Tingzhen Zhang Wen Huang Weiting Sun Xiaoyin Wu Huiwen Sun Fang Lin Jun Li |
author_sort |
Lina Qiu |
title |
Time Domain Diffuse Correlation Spectroscopy for Detecting Human Brain Function: Optimize System on Real Experimental Conditions by Simulation Method |
title_short |
Time Domain Diffuse Correlation Spectroscopy for Detecting Human Brain Function: Optimize System on Real Experimental Conditions by Simulation Method |
title_full |
Time Domain Diffuse Correlation Spectroscopy for Detecting Human Brain Function: Optimize System on Real Experimental Conditions by Simulation Method |
title_fullStr |
Time Domain Diffuse Correlation Spectroscopy for Detecting Human Brain Function: Optimize System on Real Experimental Conditions by Simulation Method |
title_full_unstemmed |
Time Domain Diffuse Correlation Spectroscopy for Detecting Human Brain Function: Optimize System on Real Experimental Conditions by Simulation Method |
title_sort |
time domain diffuse correlation spectroscopy for detecting human brain function: optimize system on real experimental conditions by simulation method |
publisher |
IEEE |
series |
IEEE Photonics Journal |
issn |
1943-0655 |
publishDate |
2021-01-01 |
description |
In order to achieve high-sensitivity time-domain diffuse correlation spectroscopy (TD-DCS) measurement of functional changes in cerebral blood flow, this study applied simulation methods to optimize the TD-DCS system under real experimental conditions (including the consideration of the effects of finite coherence length <inline-formula><tex-math notation="LaTeX">${L_C}$</tex-math></inline-formula> and non-ideal instrument response function IRF). Under a real experimental condition where the incident power is 75 mW, the source-detector distance is 1.0 cm, and the full width at half maxima of the IRF is 160 ps, we used simulation experiments to investigate the relationship between the contrast of the intensity autocorrelation function (<inline-formula><tex-math notation="LaTeX">${g_2}$</tex-math></inline-formula>) in two brain functional states (i.e., baseline and activation) and TD-DCS system parameters (including <inline-formula><tex-math notation="LaTeX">${L_C}$</tex-math></inline-formula>, IRF, source-detector distance, gate opening time and gate width).Our simulation results show that both longer <inline-formula><tex-math notation="LaTeX">${L_C}$</tex-math></inline-formula> and longer integration time are beneficial to a more sensitive detection. With a fixed <inline-formula><tex-math notation="LaTeX">${L_C}$</tex-math></inline-formula> and integration time, the optimal parameters of gate opening time is 800 ps (relative to the peak time of IRF), and gate width is equal to or larger than 800 ps. This study may be useful for guiding the sensitive measurement of human brain functions (e.g., changes in cerebral blood flow) using the TD-DCS technology. |
topic |
Time domain diffuse correlation spectroscopy simulation system optimization brain functional detection sensitivity |
url |
https://ieeexplore.ieee.org/document/9456094/ |
work_keys_str_mv |
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