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A preliminary study of the mean scatterer spacing estimation from pellets using wavelet-based cepstral analysis

机译:基于小波倒频谱分析的颗粒平均散射体间距估计的初步研究

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Ultrasonic backscatteredsignals contain information regarding the scatterer structures of the imaged biological tissues; a uniform scatterer distribution could be represented by periodicities in the backscattered signals. This work aims to characterize these scatterer periodicities using wavelet improved cepstral analysis. This technique was tested on simulated ultrasound signals, where the periodicity was clearly visible. Simulation results indicate that this technique can effectively determine the value of the scatterer spacing. The technique was then tested on a HT-29 cell pellet, where the estimated scatterer spacing was found to be 17.67 ± 3.85 μm. Future work includes improving the technique with the aim of accurately estimating the mean scatterer spacing in tissues.
机译:超声反向散射信号包含有关成像生物组织散射结构的信息。均匀的散射体分布可以用反向散射信号中的周期性来表示。这项工作旨在使用改进的小波倒频谱分析来表征这些散射周期。该技术在模拟超声信号上进行了测试,在该信号中周期性可见。仿真结果表明,该技术可以有效地确定散射体间距的值。然后在HT-29细胞沉淀上测试了该技术,发现散射体的估计间距为17.67±3.85μm。未来的工作包括改进该技术,以准确估计组织中的平均散射体间距。

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