High-fidelity calibration and characterization of a spectral computed tomography system

Isabel O. Gallegos; Gabriella M. Dalton; Adriana M. Stohn; Srivathsan P. Koundinyan; Kyle R. Thompson; Edward S. Jimenez

doi:10.1117/12.2533923

3 October 2019 High-fidelity calibration and characterization of a spectral computed tomography system

Isabel O. Gallegos, Gabriella M. Dalton, Adriana M. Stohn, Srivathsan P. Koundinyan, Kyle R. Thompson, Edward S. Jimenez

Author Affiliations +

Proceedings Volume 11114, Hard X-Ray, Gamma-Ray, and Neutron Detector Physics XXI; 111141G (2019) https://doi.org/10.1117/12.2533923
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

Sandia National Laboratories has developed a model characterizing the nonlinear encoding operator of the world's first hyperspectral x-ray computed tomography (H-CT) system as a sequence of discrete-to-discrete, linear image system matrices across unique and narrow energy windows. In fields such as national security, industry, and medicine, H-CT has various applications in the non-destructive analysis of objects such as material identification, anomaly detection, and quality assurance. However, many approaches to computed tomography (CT) make gross assumptions about the image formation process to apply post-processing and reconstruction techniques that lead to inferior data, resulting in faulty measurements, assessments, and quantifications. To abate this challenge, Sandia National Laboratories has modeled the H-CT system through a set of point response functions, which can be used for calibration and anaylsis of the real-world system. This work presents the numerical method used to produce the model through the collection of data needed to describe the system; the parameterization used to compress the model; and the decompression of the model for computation. By using this linear model, large amounts of accurate synthetic H-CT data can be efficiently produced, greatly reducing the costs associated with physical H-CT scans. Furthermore, successfully approximating the encoding operator for the H-CT system enables quick assessment of H-CT behavior for various applications in high-performance reconstruction, sensitivity analysis, and machine learning.

Citation Download Citation

Isabel O. Gallegos, Gabriella M. Dalton, Adriana M. Stohn, Srivathsan P. Koundinyan, Kyle R. Thompson, and Edward S. Jimenez "High-fidelity calibration and characterization of a spectral computed tomography system", Proc. SPIE 11114, Hard X-Ray, Gamma-Ray, and Neutron Detector Physics XXI, 111141G (3 October 2019); https://doi.org/10.1117/12.2533923

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KEYWORDS

Imaging systems

Data modeling

Calibration

Computing systems

Data acquisition

Monte Carlo methods

Sensors

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