基于压缩传感的连续太赫兹计算机辅助层析成像重构方法仿真

Simulation on Continuous Terahertz Computed Tomography Reconstruction Algorithms Based on Compressed Sensing

太赫兹波可穿透塑料、纸张、衣服等非金属、非极性物质，与x辐射相比具有较低的光子能量；计算机辅助层析成像（CT）可获得物体内部结构信息，并可重构出物体的三维图像。因此，太赫兹CT受到国际广泛关注，其中对太赫兹CT算法的研究是重点。压缩传感（CS）是利用图像具有稀疏性表示的先验知识，由投影获得的少量观测值来进行图像重建。利用基于CS的联合代数迭代算法进行了太赫兹CT图像仿真重构研究，实验结果验证了算法的重构效果以及可用于快速成像的能力。

Terahertz （THz） radiation can penetrate nonmetallic materials and nonpolar materials like plastics, papers and cloth, and has lower photon energy than X-ray. Computed tomography （CT） can obtain internal structure distribution information of a sample and reconstruct three-dimensional （3D） images. Tttz CT has drawn much attention all over the world. The research on THz CT algorithms is one of the focuses. Compressed sensing （CS） can reconstruct image with a small number of observations under the premise of the image having the sparse priorknowledge. Simulation research on THz CT reconstruction is done using the simultaneous algebraic reconstruction technique （SART） based on CS, and the results verify the reconstruction quality and rapid imaging capability.