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Proceedings Paper

Optimization of coded aperture in compressive x-ray tomography
Author(s): Tianyi Mao; Angela P. Cuadros; Xu Ma; Weiji He; Qian Chen; Gonzalo R. Arce
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Paper 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.

Paper Details

Date Published: 17 September 2018
PDF: 6 pages
Proc. SPIE 10752, Applications of Digital Image Processing XLI, 107521S (17 September 2018); doi: 10.1117/12.2319429
Show Author Affiliations
Tianyi Mao, Nanjing Univ. of Science and Technology (China)
Univ. of Delaware (United States)
Angela P. Cuadros, Univ. of Delaware (United States)
Xu Ma, Univ. of Delaware (United States)
Beijing Institute of Technology (China)
Weiji He, Nanjing Univ. of Science and Technology (China)
Univ. of Delaware (United States)
Qian Chen, Nanjing Univ. of Science and Technology (China)
Univ. of Delaware (United States)
Gonzalo R. Arce, Univ. of Delaware (United States)
Tongji Univ. (China)


Published in SPIE Proceedings Vol. 10752:
Applications of Digital Image Processing XLI
Andrew G. Tescher, Editor(s)

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