|本期目录/Table of Contents|

[1]王金海,刘东远,王慧泉△,等.基于近红外光谱法脑血肿检测的最佳检测距离选择*[J].生物医学工程研究,2017,01:43-47.
 WANG Jinhai,LIU Dongyuan,WANG Huiquan,et al.Optimal Detection Distance in Near-infrared Brain Hematoma Detection[J].Journal of Biomedical Engineering Research,2017,01:43-47.
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基于近红外光谱法脑血肿检测的最佳检测距离选择*(PDF)

《生物医学工程研究》[ISSN:1006-6977/CN:61-1281/TN]

期数:
2017年01期
页码:
43-47
栏目:
出版日期:
2017-03-25

文章信息/Info

Title:
Optimal Detection Distance in Near-infrared Brain Hematoma Detection
文章编号:
1672-6278 (2017)01-0043-05
作者:
王金海1刘东远12王慧泉1△孙秋明2张彦军2马军2
1.天津工业大学 电子与信息工程学院,天津 300387;2.军事医学科学院 卫生装备研究所,天津 300161
Author(s):
WANG Jinhai1 LIU Dongyuan12 WANG Huiquan1 SUN Qiuming2 ZHANG Yanjun2MA Jun2
1.School of Electronics and Information Engineering,Tianjin Polytechnic University,Tianjin 300387,China;2.Institute of Medical Equipment, Academy of Military Medical Sciences, Tianjin 300161
关键词:
近红外光光源与检测器距离蒙特卡洛等效信噪比 脑血肿检测
Keywords:
Near-infrared SD separation Monte CarloEquivatent Siqnal to noise ratio Brain hematoma detection
分类号:
R318;O443.4
DOI:
10.19529/j.cnki.1672-6278.2017.01.09
文献标识码:
A
摘要:
为提高近红外光谱法脑血肿无创检测的精度,需准确选择最佳的光源-检测器(Source-Detector,SD)位置。本研究以脑血肿发生深度为感兴趣深度(deep of interest,DOI),根据来自于DOI的光子数量定义等效信噪比(equivalent signal to noise ratio, ESNR)参数。利用蒙特卡洛算法对双层脑部模型进行仿真,分别获得了0.1、0.15、0.2、0.25、0.3 cm头皮颅骨厚度下的光源-检测器与ESNR的对应关系,从而可以根据被测者的个体差异选择最佳的光源-检测器距离以获得脑血肿检测的准确结果。SD-ESNR表格的建立,为不同检测者脑血肿检测时提供了信噪比较高的光源-检测器位置。
Abstract:
In order to obtain a higher signal to noise ratio of the optical signal, especially from the depth of interest, the equivalent signal to noise ratio (ESNR) was defined as the proportion of the photons from the DOI to the total photons the detector got to evaluate the best source and detector (SD) separation. The Monte-Carlo (MC) simulation was used to establish a multi brain layer model to analyze the distribution of the ESNR along the radial direction for different DOIs and several basic brain optical and structure parameters. It provides an important reference and new thinking for the brain imaging in the near infrared.

参考文献/References

备注/Memo

备注/Memo:
(收稿日期:2016-09-01) 天津市科技计划项目(13ZCZDSY20100)△通信作者〓〖HTK〗Email:huiquan@tjpu.edu.cn
更新日期/Last Update: 2017-06-22