软件导刊2023，Vol.22Issue(12)：117-123,7.DOI:10.11907/rjdk.222496
基于蒙特卡罗的脑血氧检测光源—探测器最优距离研究
Study on the Optimal Distance of Light Source-Detector for Cerebral Blood Oxygen Detection Based on Monte Carlo
摘要
Abstract
To improve the measurement accuracy of cerebral oximetry devices using near-infrared spectroscopy,it is necessary to select the optimal source-detector(SD)distance.Conventional cerebral oximetry devices with a fixed SD distance for the sensor probe part are mostly se-lected based on experience and without specific theoretical studies,which can cause inaccurate measurement results in actual use.According to the transmission characteristics of light in the head tissue,a set of characteristic parameters of cranial tissues is selected,and the five-layer cranial brain tissue model is simulated using Monte Carlo method to study the transmission characteristics of light in the head tissue,and the maximum reachable depth and scattered transmission distance of photon transmission in the tissue are analyzed according to the transmission path of photons.By analyzing the effective depth ratio(EDR)and gray matter layer information ratio(GMLIR),a set of optimal distances SD= 1 cm and SD=3.5 cm are selected to fit this group of selected cranial parameters.Compared with the traditional detection device,by optimizing the distance between the light source-detector,it will provide a new idea for the sensor design of the cerebral blood oxygen detection device and the measurement accuracy improvement of the device.关键词
脑血氧检测/光源—探测器距离/传感器/蒙特卡罗方法/组织模型Key words
cerebral blood oxygen detection/light source-detector distance/sensor/Monte Carlo method/tissue model分类
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曹焱,邢志明,赵斌,董祥美,史以珏,高秀敏..基于蒙特卡罗的脑血氧检测光源—探测器最优距离研究[J].软件导刊,2023,22(12):117-123,7.基金项目
国家重点研发计划项目(2018YFC1313803) （2018YFC1313803）
