@inproceedings{1594928181c54774a168b65167a173fd,
title = "Optimization of coded aperture in compressive x-ray tomography",
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.",
keywords = "Coded aperture, Compressive X-ray Tomography, Optimization",
author = "Tianyi Mao and Cuadros, \{Angela P.\} and Xu Ma and Weiji He and Qian Chen and Arce, \{Gonzalo R.\}",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; Applications of Digital Image Processing XLI 2018 ; Conference date: 20-08-2018 Through 23-08-2018",
year = "2018",
doi = "10.1117/12.2319429",
language = "English",
isbn = "9781510620759",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Tescher, \{Andrew G.\}",
booktitle = "Applications of Digital Image Processing XLI",
address = "United States",
}