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近红外光谱的阵列扫描式灵敏度法探测颅脑血肿
引用本文:李妍妍,罗海军,罗霞,范鑫燕,覃睿. 近红外光谱的阵列扫描式灵敏度法探测颅脑血肿[J]. 光谱学与光谱分析, 2022, 42(2): 392-398. DOI: 10.3964/j.issn.1000-0593(2022)02-0392-07
作者姓名:李妍妍  罗海军  罗霞  范鑫燕  覃睿
作者单位:重庆师范大学物理与电子工程学院 ,重庆 401331;重庆师范大学光电功能材料重庆市重点实验室 ,重庆 401331
基金项目:国家自然科学基金项目(51507023);;重庆市自然科学基金(面上项目)(cstc2020jcyj-msxmX0726);;重庆市教委科学技术研究项目(KJ1703063);
摘    要:利用近红外光谱技术对脑组织进行检测实现脑血肿的定位一直以来都是无损光学诊断的研究热点.为了实现开放式全方位的精准探测,基于功能性近红外光谱技术提出一种新的方法—阵列扫描式灵敏度法,即建立全方位阵列探测器,通过单边阵列式扫描检测来获取不同探测位置的光通量,计算每个探测器的探测灵敏度,就能得到全方位的探测信息.首先,建立单...

关 键 词:阵列扫描式灵敏度  近红外光谱技术  脑血肿检测  有限元法
收稿时间:2020-12-02

Detection of Craniocerebral Hematoma by Array Scanning Sensitivity Based on Near Inf rared Spectroscopy
LI Yan-yan,LUO Hai-jun,LUO Xia,FAN Xin-yan,QIN Rui. Detection of Craniocerebral Hematoma by Array Scanning Sensitivity Based on Near Inf rared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(2): 392-398. DOI: 10.3964/j.issn.1000-0593(2022)02-0392-07
Authors:LI Yan-yan  LUO Hai-jun  LUO Xia  FAN Xin-yan  QIN Rui
Affiliation:1. College of Physics and Electronic Engineering, Chongqing Normal University, Chongqing 401331, China2. College of Physics and Electronic Engineering, Chongqing Key Laboratory of Optoelectronic Functional Materials, Chongqing401331, China
Abstract:The localization of brain hematoma by using functional near-infrared Spectroscopy has always been a research hotspot in the field of nondestructive optical diagnosis. To achieve open and all-around accurate detection, this paper proposes a new method based on functional near-infrared spectroscopy, the Array scanning sensitivity method. Namely to establish an omni-directional array detector, unilateral array scanning tests to get the fluence rate of different probe locations. By calculating the detection sensitivity, we can get a full range of detection information. Firstly, establish the monolayer finite element model, set optical parameters, light source, detection position and boundary conditions. The simulation results are compared with Monte Carlo to verify the accuracy of the conditions. Secondly, build a brain model with hematoma based on the structure of the brain, the light source selects near-infrared light with a wavelength of 850 nm, the optical parameters of biological tissue at this wavelength are set, simulate the propagation of photons in normal brain tissue and brain tissue with hematoma, and multiple sets of luminous flux data are detected at different locations. After processing the data, it is found that the finite element simulation software can reflect the significant influence of hematoma on the transmission of light in images and data. To study the relationship between luminous flux and the location of the hematoma, the azimuth, horizontal position and depth of the hematoma were changed respectively. Multiple sets of luminous flux data were also detected, the relationship between sensitivity and hematoma location was established for analysis. The results show that the azimuth and horizontal position of the hematoma can be accurately detected by the array scanning sensitivity method, and the detection effect is the best when the hematoma is located between the source and the detection distance. The depth only affects the overall luminous flux, and the deeper the position, the smaller the sensitivity. It is concluded that the array scanning sensitivity method can be used to quickly and accurately locate hematoma in a certain depths of brain tissue, which provides a new way of thinking and an effective reference for detecting tumors and optical imaging in tissue by near-infrared spectroscopy.
Keywords:Array scanning sensitivity  Functional near-infrared spectroscopy  Brain hematoma detection  Finite element method
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