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Skull acoustic aberration correction in photoacoustic microscopy using a vector space similarity model: a proof-of-concept simulation study
Biomedical Optics Express ( IF 3.4 ) Pub Date : 2020-09-14 , DOI: 10.1364/boe.402027
Leila Mohammadi , Hamid Behnam , Jahan Tavakkoli , Kamran Avanaki

Skull bone represents a highly acoustical impedance mismatch and a dispersive barrier for the propagation of acoustic waves. Skull distorts the amplitude and phase information of the received waves at different frequencies in a transcranial brain imaging. We study a novel algorithm based on vector space similarity model for the compensation of the skull-induced distortions in transcranial photoacoustic microscopy. The results of the algorithm tested on a simplified numerical skull phantom, demonstrate a fully recovered vasculature with the recovery rate of 91.9%.

中文翻译:

使用矢量空间相似性模型进行光声显微镜中的头骨声像差校正:概念验证模拟研究

骷髅头代表了很高的声阻抗失配和声波传播的色散屏障。在经颅脑成像中,颅骨使接收到的波的振幅和相位信息失真。我们研究了一种基于向量空间相似性模型的新型算法,用于颅骨光声显微术中颅骨诱发的畸变的补偿。在简化的数字头骨模型上测试的算法结果表明,血管完全恢复,恢复率为91.9%。
更新日期:2020-10-02
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