K-edge Coded Apertures for Compressive Spectral X-ray Tomography

Angela P. Cuadros; Xu Ma; Gonzalo R. Arce

doi:10.1109/ICASSP.2019.8682905

K-edge Coded Apertures for Compressive Spectral X-ray Tomography

Angela P. Cuadros, Xu Ma, Gonzalo R. Arce

School of Optics and Photonics

University of Delaware

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

2 Citations (Scopus)

Abstract

Spectral computed tomography (SCT) is used to perform material characterization in 3D images, a feature that is not possible with conventional computed tomography (CT) systems. Currently, photon-counting detectors are used to obtain the energy binned images in SCT, however, these detectors are costly and the measured data have low signal to noise ratios. This paper presents a new approach for SCT which circumvents the limitations of current SCT systems. It combines conventional X-ray imaging systems with K-edge coded aperture masks. In this scheme, a particular filter pair is aligned with each X-ray beam in a multi-shot architecture, therefore obtaining compressive measurements in both the spectral and spatial domains. Then, the energy binned images are reconstructed using the alternating direction method of multipliers (ADMM) to solve a joint sparse and low-rank optimization problem that exploits the structure of the spectral data-cube. Simulations using coded fan-beam X-ray projections demonstrate the feasibility of the proposed approach.

Original language	English
Title of host publication	2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7730-7734
Number of pages	5
ISBN (Electronic)	9781479981311
DOIs	https://doi.org/10.1109/ICASSP.2019.8682905
Publication status	Published - May 2019
Event	44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom Duration: 12 May 2019 → 17 May 2019

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2019-May
ISSN (Print)	1520-6149

Conference

Conference	44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
Country/Territory	United Kingdom
City	Brighton
Period	12/05/19 → 17/05/19

Keywords

K-edge filters
X-ray imaging
coded apertures.
compressive sensing
spectral CT

Access to Document

10.1109/ICASSP.2019.8682905

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Cuadros, A. P., Ma, X., & Arce, G. R. (2019). K-edge Coded Apertures for Compressive Spectral X-ray Tomography. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (pp. 7730-7734). Article 8682905 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2019-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2019.8682905

Cuadros, Angela P. ; Ma, Xu ; Arce, Gonzalo R. / K-edge Coded Apertures for Compressive Spectral X-ray Tomography. 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 7730-7734 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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title = "K-edge Coded Apertures for Compressive Spectral X-ray Tomography",

abstract = "Spectral computed tomography (SCT) is used to perform material characterization in 3D images, a feature that is not possible with conventional computed tomography (CT) systems. Currently, photon-counting detectors are used to obtain the energy binned images in SCT, however, these detectors are costly and the measured data have low signal to noise ratios. This paper presents a new approach for SCT which circumvents the limitations of current SCT systems. It combines conventional X-ray imaging systems with K-edge coded aperture masks. In this scheme, a particular filter pair is aligned with each X-ray beam in a multi-shot architecture, therefore obtaining compressive measurements in both the spectral and spatial domains. Then, the energy binned images are reconstructed using the alternating direction method of multipliers (ADMM) to solve a joint sparse and low-rank optimization problem that exploits the structure of the spectral data-cube. Simulations using coded fan-beam X-ray projections demonstrate the feasibility of the proposed approach.",

keywords = "K-edge filters, X-ray imaging, coded apertures., compressive sensing, spectral CT",

author = "Cuadros, {Angela P.} and Xu Ma and Arce, {Gonzalo R.}",

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year = "2019",

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language = "English",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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Cuadros, AP, Ma, X & Arce, GR 2019, K-edge Coded Apertures for Compressive Spectral X-ray Tomography. in 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings., 8682905, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2019-May, Institute of Electrical and Electronics Engineers Inc., pp. 7730-7734, 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, Brighton, United Kingdom, 12/05/19. https://doi.org/10.1109/ICASSP.2019.8682905

K-edge Coded Apertures for Compressive Spectral X-ray Tomography. / Cuadros, Angela P.; Ma, Xu; Arce, Gonzalo R.
2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 7730-7734 8682905 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2019-May).

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

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T1 - K-edge Coded Apertures for Compressive Spectral X-ray Tomography

AU - Cuadros, Angela P.

AU - Ma, Xu

AU - Arce, Gonzalo R.

PY - 2019/5

Y1 - 2019/5

N2 - Spectral computed tomography (SCT) is used to perform material characterization in 3D images, a feature that is not possible with conventional computed tomography (CT) systems. Currently, photon-counting detectors are used to obtain the energy binned images in SCT, however, these detectors are costly and the measured data have low signal to noise ratios. This paper presents a new approach for SCT which circumvents the limitations of current SCT systems. It combines conventional X-ray imaging systems with K-edge coded aperture masks. In this scheme, a particular filter pair is aligned with each X-ray beam in a multi-shot architecture, therefore obtaining compressive measurements in both the spectral and spatial domains. Then, the energy binned images are reconstructed using the alternating direction method of multipliers (ADMM) to solve a joint sparse and low-rank optimization problem that exploits the structure of the spectral data-cube. Simulations using coded fan-beam X-ray projections demonstrate the feasibility of the proposed approach.

AB - Spectral computed tomography (SCT) is used to perform material characterization in 3D images, a feature that is not possible with conventional computed tomography (CT) systems. Currently, photon-counting detectors are used to obtain the energy binned images in SCT, however, these detectors are costly and the measured data have low signal to noise ratios. This paper presents a new approach for SCT which circumvents the limitations of current SCT systems. It combines conventional X-ray imaging systems with K-edge coded aperture masks. In this scheme, a particular filter pair is aligned with each X-ray beam in a multi-shot architecture, therefore obtaining compressive measurements in both the spectral and spatial domains. Then, the energy binned images are reconstructed using the alternating direction method of multipliers (ADMM) to solve a joint sparse and low-rank optimization problem that exploits the structure of the spectral data-cube. Simulations using coded fan-beam X-ray projections demonstrate the feasibility of the proposed approach.

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KW - X-ray imaging

KW - coded apertures.

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KW - spectral CT

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M3 - Conference contribution

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T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 7730

EP - 7734

BT - 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019

Y2 - 12 May 2019 through 17 May 2019

ER -

Cuadros AP, Ma X, Arce GR. K-edge Coded Apertures for Compressive Spectral X-ray Tomography. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 7730-7734. 8682905. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2019.8682905

K-edge Coded Apertures for Compressive Spectral X-ray Tomography

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