基于动态可控光学体模的脑代谢活动模拟
Emulation of Brain Metabolic Activities Based on a Dynamically Controllable Optical Phantom.
作者信息
Lin Yuxiang, Chen Cheng, Ma Zhouchen, Sabor Nabil, Wei Yanyan, Zhang Tianhong, Sawan Mohamad, Wang Guoxing, Zhao Jian
机构信息
Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China.
Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt.
出版信息
Cyborg Bionic Syst. 2023 Sep 13;4:0047. doi: 10.34133/cbsystems.0047. eCollection 2023.
This paper presents a dynamic optical phantom for the simulation of metabolic activities in the brain, and a linear equivalent model is built for control voltage versus substance concentration. A solid-solid dynamic optical phantom is realized by using liquid crystal film as a voltage-controlled light intensity regulator on the surface of basic phantom, which uses epoxy resin as matrix material and nanometer carbon powder and titanium dioxide powder as absorption and scattering dopants, respectively. The dynamic phantom could mimic near-infrared spectrum (NIRS) signals with sampling rate up to 10 Hz, and the maximum simulation errors for oxy-hemoglobin and deoxy-hemoglobin concentrations varying in the range of 1 μmol/l are 7.0% and 17.9%, respectively. Compared with similar solid biomimetic phantoms, the adjustable mimic substance concentration range is extended by an order of magnitude, which meets the simulation requirements of most brain NIRS signals.
本文提出了一种用于模拟大脑代谢活动的动态光学体模，并建立了控制电压与物质浓度之间的线性等效模型。通过使用液晶膜作为基本体模表面的电压控制光强度调节器，实现了一种固 - 固动态光学体模，该基本体模以环氧树脂为基体材料，分别以纳米碳粉和二氧化钛粉末作为吸收和散射掺杂剂。该动态体模能够以高达10 Hz的采样率模拟近红外光谱（NIRS）信号，对于浓度在1 μmol/l范围内变化的氧合血红蛋白和脱氧血红蛋白浓度，最大模拟误差分别为7.0%和17.9%。与类似的固体仿生体模相比，可调节的模拟物质浓度范围扩大了一个数量级，满足了大多数脑NIRS信号的模拟要求。
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