基于光谱编码的血管内光声组分成像

Intravascular Photoacoustic Component Imaging Based on Spectral Encoding Technique

光声成像突破了传统的光学成像和超声成像在生物组织成像领域的困境,该技术基于光声(Photoacoustic,PA)效应,脉冲激光激励下的生物组织产生超声信号,超声信号被接收后,通过反投影算法将其携带的时间信息和强度信息转化为能够反映生物组织吸收结构和分布的可视化图像。基于不同生物组织的光吸收差异,当激发光强度均匀且稳定时,光声成像反映的就是该物质对于该波长光的吸收特性。本文中,我们基于导管式的血管内光声断层扫描平台结合多波长激发的光声成像算法开发了基于光谱编码的血管内光声组分成像系统,实现了在离体血管斑块中脂质组分的定量成像,高分辨获得了脂质核心的大小形态和边界信息,表征了斑块内的脂质相对含量。

As a new imaging technique,photoacoustic tomography （PAT）overcomes the difficulties of traditional opti-cal imaging and ultrasonic imaging.The principle of PAT is based on the photoacoustic effect.When a biological tissue is excited by pulse laser,it will generate ultrasonic signal,which will be detected and recorded.The structure and the optical-absorption distribution of the tissue can be visualized by reconstructing the ultrasonic signal with a back projection algorithm.Because each biological tissue has its unique optical absorption,when the excitation light intensity is uniform and stable,what photoacoustic imaging reflects is light absorption properties for the wavelength of the material.In this paper,based on photoacoustic tomography imaging platform and multiple wavelength photoacoustic imaging algorithm, photoacoustic images obtained the information of lipid core with high resolution morphology as well as the core boundary.