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Experimental study of multiple-orientation muon tomography with image optimization in sparse data environments

Jesus J. Valencia1,*, Adam A. Hecht1,†, C.L. Morris2, E. Guardincerri2, D. Poulson2, J. Bacon2, and J.M. Durham2

  • *Contact author: jvalencia127@unm.edu
  • †Contact author: hecht@unm.edu
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Phys. Rev. Applied 23, 064068 – Published 30 June, 2025

DOI: https://doi.org/10.1103/tl8q-lw81

Abstract

Due to the high penetrating power of cosmic-ray muons, they can be used to probe very thick and dense objects. As muons are charged particles, they can be tracked by ionization detectors, determining the position and direction of the muons. With detectors on either side of an object to measure particle direction change, scattering information within the object can be found. This can be used to produce a scattering-intensity image within the object related to density and atomic number. Such imaging is typically performed with a single detector-object orientation, taking advantage of the more intense downward flux of muons, producing planar imaging with some depth-of-field information in the third dimension. Several simulation studies were published with multiorientation tomography, which can form a three-dimensional representation faster than a single-orientation view. In this study, experimental muon-scatter-based tomography was performed using a concrete filled steel drum with several different metal wedges inside, with the drum between detector planes. Data were collected from different detector-object orientations by rotating the steel drum. The data collected from each orientation were combined using two different tomographic methods. A traditional inverse Radon transform approach used for computed tomography and a combination of multiple depth-of-field reconstructions were applied to the data. As cosmic-ray muon flux imaging is rate limited, the imaging techniques were compared for sparse data. Using the combined depth-of-field reconstruction technique, fewer detector-object orientations were needed to reconstruct images that could be used to differentiate the metal wedges.

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Phys. Rev. Applied 23, 064068– Published 30 June, 2025
  • Received 1 February 2025
  • Accepted 29 May 2025
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Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

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