X-Ray Computed Tomography for 3D Characterization of High-Frequency Standards

This paper presents a non-contact method for the characterization of coaxial air-dielectric transmission lines used as S-parameter standards. The use of computed tomography for measuring the diameter of the outer conductor of a line is introduced. The proposed method utilizes 3D reconstruction to obtain a mean diameter by fitting small cylinders into the object. This result is necessary to calculate the characteristic impedance of the line and derive its S-parameters. The procedure is traceable to the SI base unit of length and, due to its advantages, can serve as a complement to other established methods of measurement.

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Published
2024-09-18
DOI
https://doi.org/10.1109/argencon62399.2024.10735923
Primary Topic
Medical Imaging Techniques and Applications
Type
article
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article

X-Ray Computed Tomography for 3D Characterization of High-Frequency Standards

G. Monasterios, Martin Musumano
Medical Imaging Techniques and Applications
article

X-Ray Computed Tomography for 3D Characterization of High-Frequency Standards

G. Monasterios, Martin Musumano
article en

Abstract

This paper presents a non-contact method for the characterization of coaxial air-dielectric transmission lines used as S-parameter standards. The use of computed tomography for measuring the diameter of the outer conductor of a line is introduced. The proposed method utilizes 3D reconstruction to obtain a mean diameter by fitting small cylinders into the object. This result is necessary to calculate the characteristic impedance of the line and derive its S-parameters. The procedure is traceable to the SI base unit of length and, due to its advantages, can serve as a complement to other established methods of measurement.

National Institute of Industrial Technology (AR)
Openalex Percentile: Top 67%
Medical Imaging Techniques and Applications
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X-Ray Computed Tomography for 3D Characterization of High-Frequency Standards — G. Monasterios, Martin Musumano · (2024) | TGRS Research Map | TGRS