生物组织单像素成像重构的散射干扰抑制

Scattering interference suppression for single-pixel imaging reconstruction of biological tissues

  • 摘要: 针对单像素成像重构中的散射介质影响而导致重构图像无法达到最佳效果的问题,研究了有无散射介质的情况下,关联算法和压缩感知算法的图像重构适用性。分析了散射介质在成像光路造成的调制信息空间结构变化和在探测光路造成的信号损耗对成像的影响,建立了近红外单像素成像系统,使用CGI算法和TVAL3算法实现了穿透生物组织散射介质的单像素成像实验。实验发现,在无散射介质时,TVAL3算法的重构时间、峰值信噪比和相似度等均优于CGI算法;而在有散射介质时,CGI算法的三项数值中有两项优于TVAL3算法,其最大重构时间(0.304091 s)小于TVAL3算法最小时间(1.766299 s),其最小峰值信噪比(9.9831 dB)高于TVAL3算法的最大值(9.170456 dB),其相似度(0.0982、0.1178)则位于TVAL3算法的范围内(0.099258~0.497622)。结果表明,基于关联成像理论的CGI算法较适合散射介质成像,基于压缩感知理论的TVAL3算法更适合无散射介质成像。

     

    Abstract: In view of the influence of the scattering medium in the reconstruction of single-pixel imaging, the reconstructed image cannot achieve the best effect. The applicability of the correlation algorithm and compressed sensing algorithm for image reconstruction with or without the scattering medium was investigated. The influence of the spatial structure change of modulated information in the imaging path and the signal loss in detection path caused by the medium was analyzed, a near-infrared single-pixel imaging system was established, and the single-pixel imaging of penetrating the biological tissues scattering medium with the CGI algorithm and the TVAL3 algorithm was realized. It was found that the reconstruction time, peak signal-to-noise ratio and SSIM of the TVAL3 were better than CGI when there was no medium; while two of the three values of the CGI were better when there was medium, its maximum reconstruction time (0.304091 s) was smaller than the minimum (1.766299 s) of the TVAL3, and its minimum PSNR (9.9831dB) was higher than the maximum (9.170456 dB) of the TVAL3, and its SSIM (0.0982,0.1178) lay within the range of the SSIM of the TVAL3 (0.099258-0.497622). The results show that the CGI based on correlation imaging theory is more suitable for imaging scattering media, and the TVAL3 based on compressed perception theory is more suitable for imaging non-scattering media.

     

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