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高精度光声光谱定量成像系统的设计与应用 被引量:1

Design and Application of High-precision Quantitative Spectroscopic Photoacoustic Imaging System
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摘要 冠状动脉内斑块的破损是引起急性心血管事件的主要原因。而对于斑块易损性的诊断,不仅需要掌握其形态特性,斑块的组成成分(尤其是脂质)、及其浓度的空间分布也是非常关键的信息。针对该需求,研发一套高精度的光声光谱成像系统,可以用于斑块成分的识别、分离、浓度定量分析,并在空间成像。与以往的研究相比,该系统通过透射式光声共焦的设计,大幅提高了系统信噪比,保证了光声光谱数据的精度;并且通过先光谱扫描,再移动样品的成像方式,保证了光声光谱与其空间来源对应关系的一致性;而结合多元曲线分辨的光谱解析算法,实现了样本中各成分的光谱分离和定量解析。对仿体和动物模型的试验,验证了本系统可以对脂质浓度的空间分布进行高效和高精度的成像。该系统的研发和试验,展示了光声成像技术应用于临床的极大潜力。 Rupture of coronary plaque is the main cause of acute cardiovascular events. For the diagnosis of plaque vulnerability, not only its morphological characteristics, but plaque components(such as lipids), and its concentration distribution are crucial information. In response to this demand, a high precise spectroscopic photoacoustic imaging system has been developed, which is capable for the plaque components identify, separation, concentration quantitative analysis and imaging. Compared with previous studies, the signal-to-noise ratio of the system is improved by the design of confocally optical excitation and ultrasonic detection with transmission mode, which increase the accuracy of photoacoustic spectroscopy data dramatically. And the certainty of correspondence between photoacoustic spectroscopy and its spatial sources is ensured by scanning wavelength before moving sample. The spectral separation and quantitative analysis of each components are achieved by multivariate curve resolution. The efficient of the system is validated by phantom and animal models experiments, in which the distribution of lipid concentration are mapped with high accuracy. The proposed spectroscopic photoacoustic imaging system shows the potential to narrow the gap for clinical translation. *
出处 《机械工程学报》 EI CAS CSCD 北大核心 2018年第20期64-70,共7页 Journal of Mechanical Engineering
基金 国家自然科学基金(61475182) 深圳市基础学科布局(JCYJ20160608214524052) 深圳市科技计划(JCYJ20150521144321005) 广州市属高校科研项目(1201610315) 广州市科技计划(201707010332)资助项目
关键词 光声光谱 光谱成像 定量分析 多元曲线分辨 动脉粥样硬化 photoacoustic spectroscopy spectroscopic imaging quantitative analysis multivariate curve resolution atherosclerosis
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