摘要
基于时域光声信号的谱分析技术是一种能够提供生物组织结构和功能信息的非侵入式检测技术,其结合了光学模态的高对比度和超声模态在深层组织中的高分辨率两重特性,可对不同波长光激发下的目标生物组织的光声信号数据集进行处理分析。相较于传统光谱检测,该技术不易受被测对象形状、形态的限制和光散射的影响,使其对较深层组织的检测仍具有较高灵敏度。相较于光声成像,该技术无需引入图像重建算法且专注于实现定量分析。综述时域光声信号的谱分析技术在生物组织、生物体液、生物呼出气体检测中的应用,介绍相关研究所采用的改进实验系统或不同信号处理方法,阐述该技术的研究进展与发展方向。
Time-domain photoacoustic(PA) signal measurement and spectral analysis technique is a non-invasive detection method that can provide the structural and functional information of biological tissue. Combining with the high contrast of optical modality and the high resolution of ultrasonic modality in deep tissue, PA signal data sets of target tissues under different wavelengths of light excitation are processed and analyzed. Compared with the conventional spectral detection, this technique is less susceptible to the limitations of the shape and morphology of the object to be measured and is not affected by the light scattering, therefore has a high sensitivity for the detection of deep tissues. In contrast to photoacoustic imaging, this technique does not require image reconstruction and focuses on achieving quantitative analysis. This article summarized the applications of time-domain PA signal spectral analysis technique in the detection of biological tissue, biological fluid, and biological exhaled gas, and reviewed the research progress and development directions of this technique around the improved experimental systems or different signal processing methods used in various studies.
作者
郑佳欣
田蕊
刘明晴
昝克华
王艺涵
朱守平
Zheng Jiaxin;Tian Rui;Liu Mingqing;Zan Kehua;Wang Yihan;Zhu Shouping(School of Life Science and Technology,Xidian University,Xi'an 710126,China;Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education,Xidian University,Xi'an 710126,China)
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2022年第4期462-472,共11页
Chinese Journal of Biomedical Engineering
基金
国家自然科学基金青年科学基金(61901342)
陕西省自然科学基础研究计划(2020JQ-299)。
关键词
时域光声信号
谱分析技术
无损检测
定量分析
生物医学应用
time-domain photoacoustic signal
spectrum analysis technology
nondestructive testing
quantitative analysis
biomedical applications
