Optimization of coded aperture in compressive x-ray tomography

Tianyi Mao; Angela P. Cuadros; Xu Ma; Weiji He; Qian Chen; Gonzalo R. Arce

doi:10.1117/12.2319429

17 September 2018 Optimization of coded aperture in compressive x-ray tomography

Tianyi Mao, Angela P. Cuadros, Xu Ma, Weiji He, Qian Chen, Gonzalo R. Arce

Proceedings Volume 10752, Applications of Digital Image Processing XLI; 107521S (2018) https://doi.org/10.1117/12.2319429
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

The CT system structure matrix in the coded aperture compressive X-ray tomography (CACXT) is highly structured and thus the random coded apertures are not optimal. A fast approach based on minimal information loss is proposed. The peak signal to noise ratios (PSNR) of the reconstructed images with optimized coded apertures exhibit significant gains and the design execution time is reduced by orders of magnitude. Simulations results for optimized coded apertures are shown, and their performance is compared to the use of random coded apertures.

Citation Download Citation

Tianyi Mao, Angela P. Cuadros, Xu Ma, Weiji He, Qian Chen, and Gonzalo R. Arce "Optimization of coded aperture in compressive x-ray tomography", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 107521S (17 September 2018); https://doi.org/10.1117/12.2319429

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