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Review

Design of a Computed Tomography Automation Architecture

1
Department of Mechanical Engineering—Nuclear Engineering, University of Texas at Austin, Austin, TX 78712, USA
2
Los Alamos National Laboratory, Los Alamos, NM 87545, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Giuseppe Lacidogna
Appl. Sci. 2021, 11(6), 2858; https://doi.org/10.3390/app11062858
Received: 2 March 2021 / Revised: 17 March 2021 / Accepted: 18 March 2021 / Published: 23 March 2021
(This article belongs to the Special Issue Nondestructive Testing (NDT): Volume II)
This paper presents a literature review on techniques related to the computed tomography procedure that incorporate automation elements in their research investigations or industrial applications. Computed tomography (CT) is a non-destructive testing (NDT) technique in that the imaging and inspection are performed without damaging the sample, allowing for additional or repeated analysis if necessary. The reviewed literature is organized based on the steps associated with a general NDT task in order to define an end-to-end computed tomography automation architecture. The process steps include activities prior to image collection, during the scan, and after the data are collected. It further reviews efforts related to repeating this process based on a previous scan result. By analyzing the multiple existing but disparate efforts found in the literature, we present a framework for fully automating NDT procedures and discuss the remaining technical gaps in the developed framework. View Full-Text
Keywords: computed tomography; radiography; automation; robotics; radiation imaging; X-ray computed tomography; radiography; automation; robotics; radiation imaging; X-ray
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MDPI and ACS Style

Hashem, N.; Pryor, M.; Haas, D.; Hunter, J. Design of a Computed Tomography Automation Architecture. Appl. Sci. 2021, 11, 2858. https://doi.org/10.3390/app11062858

AMA Style

Hashem N, Pryor M, Haas D, Hunter J. Design of a Computed Tomography Automation Architecture. Applied Sciences. 2021; 11(6):2858. https://doi.org/10.3390/app11062858

Chicago/Turabian Style

Hashem, Nicholas, Mitchell Pryor, Derek Haas, and James Hunter. 2021. "Design of a Computed Tomography Automation Architecture" Applied Sciences 11, no. 6: 2858. https://doi.org/10.3390/app11062858

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