Paper Info
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.
Year
DOI
Venue
2019
10.1109/icassp.2019.8682905
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
Keywords
Field
DocType
X-ray imaging, compressive sensing, spectral CT, K-edge filters, coded apertures
Aperture,Coded aperture,Pattern recognition,Computer science,Signal-to-noise ratio,Algorithm,Tomography,Artificial intelligence,Attenuation,Photonics,Detector,Optimization problem
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Angela P. Cuadros112.05
Xu Ma202.70
Gonzalo R. Arce31061134.94