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

^*此作品的通讯作者

光电学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

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.

源语言	英语
主期刊名	Applications of Digital Image Processing XLI
编辑	Andrew G. Tescher
出版商	SPIE
ISBN（印刷版）	9781510620759
DOI	https://doi.org/10.1117/12.2319429
出版状态	已出版 - 2018
活动	Applications of Digital Image Processing XLI 2018 - San Diego, 美国期限: 20 8月 2018 → 23 8月 2018

出版系列

姓名	Proceedings of SPIE - The International Society for Optical Engineering
卷	10752
ISSN（印刷版）	0277-786X
ISSN（电子版）	1996-756X

会议

会议	Applications of Digital Image Processing XLI 2018
国家/地区	美国
市	San Diego
时期	20/08/18 → 23/08/18

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10.1117/12.2319429

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Mao, T., Cuadros, A. P., Ma, X., He, W., Chen, Q., & Arce, G. R. (2018). Optimization of coded aperture in compressive x-ray tomography. 在 A. G. Tescher (编辑), Applications of Digital Image Processing XLI 文章 107521S (Proceedings of SPIE - The International Society for Optical Engineering; 卷 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. 在 AG Tescher (编辑), Applications of Digital Image Processing XLI., 107521S, Proceedings of SPIE - The International Society for Optical Engineering, 卷 10752, SPIE, Applications of Digital Image Processing XLI 2018, San Diego, 美国, 20/08/18. https://doi.org/10.1117/12.2319429

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

UR - http://www.scopus.com/inward/record.url?scp=85053916855&partnerID=8YFLogxK

U2 - 10.1117/12.2319429

DO - 10.1117/12.2319429

M3 - Conference contribution

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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