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Photoacoustic power azimuth spectrum for microvascular evaluation

机译:微血管评估的光声功率方位角谱

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The tubular structures and dendritic distributions of blood vessels emit anisotropic photoacoustic (PA) signals with different intensities and frequency components at different angles. Therefore, spectral analysis of PA signals from a single angle cannot accurately determine the physical characteristics of microvessels. This study investigated the feasibility of using the PA power azimuth spectrum (PA-PAS) method to evaluate microvessel structures. We mapped the acoustic power spectrum of the PA signals along the azimuth direction. Based on a frequency-domain analysis of the broadband PA signal, we calculated the spectral parameter power-weighted mean frequency (PWMF). The results demonstrate that the PA signal information of the microvessel is mainly concentrated in the direction of its width. In addition, the PWMF decreases linearly with the microvascular size. The experimental findings exhibit good agreement with the simulation results, thus demonstrating that this approach can effectively differentiate the sizes of microvessels.
机译:血管的管状结构和树突分布发出各向异性光声(PA)信号,在不同的角度下具有不同的强度和频率分量。因此,来自单个角度的PA信号的光谱分析不能精确地确定微型肌的物理特性。本研究调查了使用PA电源方位角谱(PA-PAS)方法来评估微型梭形结构的可行性。我们沿方位角映射了PA信号的声学功率谱。基于宽带PA信号的频域分析,我们计算了光谱参数功率加权平均频率(PWMF)。结果表明,微孔的PA信号信息主要集中在其宽度方向上。此外,PWMF随着微血管尺寸线性降低。实验结果表现出与模拟结果良好的一致性,从而证明这种方法可以有效地区分微血管的尺寸。

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