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首页> 外文期刊>Ultrasound in Medicine and Biology >PHOTOACOUSTIC SPECTRUM ANALYSIS FOR MICROSTRUCTURE CHARACTERIZATION IN BIOLOGICAL TISSUE: ANALYTICAL MODEL
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PHOTOACOUSTIC SPECTRUM ANALYSIS FOR MICROSTRUCTURE CHARACTERIZATION IN BIOLOGICAL TISSUE: ANALYTICAL MODEL

机译:生物组织中微结构表征的光声谱分析:分析模型

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摘要

Photoacoustic spectrum (PA) analysis (PASA) has been found to have the ability to identify the microstructures in phantoms and biological tissues. PASA adopts the procedures in ultrasound spectrum analysis, although the signal generation mechanisms related to ultrasound backscatter and PA wave generation differ. The purpose of this study was to theoretically validate PASA. The analytical solution to the power spectrum of PA signals generated by identical microspheres following discrete uniform random distribution in space was derived. The simulation and experiment validation of the analytical solution include: (i) the power spectrum profile of a single microsphere with a diameter of 300 mu m, and (ii) the PASA parameters of the PA signals generated by randomly distributed microspheres 100, 200, 300, 400 and 500 mu m in diameter, at concentrations of 30, 60, 120, 240, 480 per 1.5(3) cm(3) in the observation range 0.5-13 MHz. (C) 2015 World Federation for Ultrasound in Medicine & Biology.
机译:已发现光声光谱(PA)分析(PASA)具有识别体模和生物组织中微结构的能力。尽管与超声反向散射和PA波产生相关的信号产生机制不同,但PASA仍采用超声频谱分析程序。这项研究的目的是从理论上验证PASA。推导了相同微球在空间中离散均匀随机分布后产生的PA信号功率谱的解析解。分析解决方案的仿真和实验验证包括:(i)直径为300μm的单个微球的功率谱图,以及(ii)随机分布的微球100、200产生的PA信号的PASA参数,直径300、400和500微米,在0.5-13 MHz的观测范围内每1.5(3)cm(3)的浓度分别为30、60、120、240、480。 (C)2015年世界医学和生物学超声联合会。

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