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

Optimization of coded aperture in compressive x-ray tomography

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

^*Corresponding author for this work

School of Optics and Photonics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Applications of Digital Image Processing XLI
Editors	Andrew G. Tescher
Publisher	SPIE
ISBN (Print)	9781510620759
DOIs	https://doi.org/10.1117/12.2319429
Publication status	Published - 2018
Event	Applications of Digital Image Processing XLI 2018 - San Diego, United States Duration: 20 Aug 2018 → 23 Aug 2018

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10752
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Applications of Digital Image Processing XLI 2018
Country/Territory	United States
City	San Diego
Period	20/08/18 → 23/08/18

Keywords

Coded aperture
Compressive X-ray Tomography
Optimization

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10.1117/12.2319429

Cite this

Mao, T., Cuadros, A. P., Ma, X., He, W., Chen, Q., & Arce, G. R. (2018). Optimization of coded aperture in compressive x-ray tomography. In A. G. Tescher (Ed.), Applications of Digital Image Processing XLI Article 107521S (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10752). SPIE. https://doi.org/10.1117/12.2319429

@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",

}

Mao, T, Cuadros, AP, Ma, X, He, W, Chen, Q & Arce, GR 2018, Optimization of coded aperture in compressive x-ray tomography. in AG Tescher (ed.), Applications of Digital Image Processing XLI., 107521S, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10752, SPIE, Applications of Digital Image Processing XLI 2018, San Diego, United States, 20/08/18. https://doi.org/10.1117/12.2319429

Optimization of coded aperture in compressive x-ray tomography. / Mao, Tianyi; Cuadros, Angela P.; Ma, Xu et al.
Applications of Digital Image Processing XLI. ed. / Andrew G. Tescher. SPIE, 2018. 107521S (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10752).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimization of coded aperture in compressive x-ray tomography

AU - Mao, Tianyi

AU - Cuadros, Angela P.

AU - Ma, Xu

AU - He, Weiji

AU - Chen, Qian

AU - Arce, Gonzalo R.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Coded aperture

KW - Compressive X-ray Tomography

KW - Optimization

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U2 - 10.1117/12.2319429

DO - 10.1117/12.2319429

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AN - SCOPUS:85053916855

SN - 9781510620759

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Applications of Digital Image Processing XLI

A2 - Tescher, Andrew G.

PB - SPIE

T2 - Applications of Digital Image Processing XLI 2018

Y2 - 20 August 2018 through 23 August 2018

ER -

Optimization of coded aperture in compressive x-ray tomography

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Keywords

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