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3D image reconstruction of terahertz computed tomography at sparse angles by total variation minimization.

作者信息

Wang Dayong, Ning Ran, Li Gaochao, Zhao Jie, Wang Yunxin, Rong Lu

出版信息

Appl Opt. 2022 Feb 10;61(5):B1-B7. doi: 10.1364/AO.440847.

DOI:10.1364/AO.440847
PMID:35201119
Abstract

Continuous-wave terahertz computed tomography (THz-CT) is an important three-dimensional imaging method for probing the profile and inner properties of a sample's structure. We applied the total variation (TV) minimization iterative algorithm to squeeze 75% data acquisition time of THz-CT without the loss of reconstruction fidelity. The imaging system is built based on a 278.6 GHz avalanche diode source. A zero-order Bessel beam is generated by an axicon, for which the intensity profile remains essentially propagation invariant within the non-diffracting zone. The effectiveness of the proposed method is verified by using three optically opaque objects. The reconstruction results show that the TV-minimization algorithm can effectively suppress noise, artefacts, and shape distortion created in sparse angle reconstruction.

摘要

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