• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2018, Vol. 54 ›› Issue (20): 64-70.doi: 10.3901/JME.2018.20.064

• 流体生物医学工程 • 上一篇    下一篇

高精度光声光谱定量成像系统的设计与应用

燕康1,2, 张建辉1,3, 张帆2,3, 周瑛子2,4, 龚小竞2   

  1. 1. 南京航空航天大学机械结构力学及控制国家重点试验室 南京 210016;
    2. 中国科学院深圳先进技术研究院生物医学光学与分子影像研究室 深圳 518055;
    3. 广州大学机械与电气工程学院 广州 510006;
    4. 湖南大学电气与信息工程学院 长沙 410000
  • 收稿日期:2017-11-15 修回日期:2018-01-03 出版日期:2018-10-20 发布日期:2018-10-20
  • 通讯作者: 龚小竞(通信作者),男,1978年出生,博士,副研究员。主要从事生物医学光学成像、光声光谱成像等方面的研究。E-mail:xj.gong@siat.ac.cn
  • 作者简介:燕康,男,1991年出生。主要从事光声光谱成像系统设计等方面的研究。E-mail:kangy@nuaa.edu.cn;张建辉,男,1963年出生,博士,教授,博士研究生导师。主要从事光声成像、机械设计及理论和压电作动器等方面的研究。E-mail:zhangjh@nuaa.edu.cn
  • 基金资助:
    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)和广州市科技计划(201707010332)资助项目。

Design and Application of High-precision Quantitative Spectroscopic Photoacoustic Imaging System

YAN Kang1,2, ZHANG Jianhui1,3, ZHANG Fan2,3, ZHOU Yingzi2,4, GONG Xiaojing2   

  1. 1. State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016;
    2. Research Lab for Biomedical Optics and Molecular Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055;
    3. School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006;
    4. College of Electrical and Information Engineering, Hunan University, Changsha 410000
  • Received:2017-11-15 Revised:2018-01-03 Online:2018-10-20 Published:2018-10-20

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。

关键词: 定量分析, 动脉粥样硬化, 多元曲线分辨, 光谱成像, 光声光谱

Abstract: 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.

Key words: atherosclerosis, multivariate curve resolution, photoacoustic spectroscopy, quantitative analysis, spectroscopic imaging

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