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首页> 外文期刊>International Journal of Thermophysics >Frequency Domain Analysis of Multiwavelength Photoacoustic Signals for Differentiating Tissue Components
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Frequency Domain Analysis of Multiwavelength Photoacoustic Signals for Differentiating Tissue Components

机译：用于区分组织成分的多波长光声信号的频域分析

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摘要

The feasibility of differentiating tissue components by performing frequency domain analysis of photoacoustic images acquired at different wavelengths was studied in this paper. Firstly, according to the basic theory of photoacoustic imaging, a brief theoretical model for frequency domain analysis of multiwave-length photoacoustic signal was deduced. The experiment results proved that the performance of different targets in frequency domain is quite different. Especially, the acoustic spectrum characteristic peaks of different targets are unique, which are 2.93 MHz, 5.37 MHz, 6.83 MHz, and 8.78 MHz for PDM Sphantom, while 13.20 MHz, 16.60 MHz, 26.86 MHz, and 29.30 MHz for pork fat. The results indicated that the acoustic spectrum of photoacoustic imaging signals is possible to be utilized for tissue composition characterization.
机译：本文研究了通过执行在不同波长上获取的光声图像的频域分析来区分组织成分的可行性。 首先，根据光声成像的基本理论，推导了多波长光声信号的频域分析简要理论模型。 实验结果证明了频域不同靶标的性能是完全不同的。 特别是，不同靶标的声谱特征峰是独一无二的，其为2.93MHz，5.37MHz，6.83MHz，8.78MHz，用于PDM SpHantom，而猪肉脂肪的13.20 MHz，16.60 MHz，26.86 MHz和29.30 MHz。 结果表明，光声成像信号的声光谱可以用于组织成分表征。

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