Muon Tracing and Image Reconstruction Algorithms for Cosmic Ray Muon Computed Tomography

TL;DR

This paper introduces advanced muon tracing and scattering algorithms for cosmic ray muon computed tomography, significantly enhancing image quality and detection capabilities in applications like nuclear security and volcano imaging.

Contribution

It develops and evaluates three novel muon tracing methods and two scattering angle projection techniques, improving image reconstruction over conventional approaches.

Findings

Improved image quality with new algorithms compared to traditional methods.

Enhanced detection of partial defects in simulated nuclear fuel casks.

Effective imaging without requiring muon momentum information.

Abstract

Cosmic ray muon computed tomography ({\mu}CT) is a new imaging modality with unique characteristics that could be particularly important for diverse applications including nuclear nonproliferation, spent nuclear fuel monitoring, cargo scanning, and volcano imaging. The strong scattering dependence of muons on atomic number Z in combination with high penetration range could offer a significant advantage over existing techniques when dense, shielded containers must be imaged. However, {\mu}CT reconstruction using conventional filtered back-projection is limited due to the overly simple assumptions that do not take into account the effects of multiple Coulomb scattering prompting the need for more sophisticated approaches to be developed. In this paper, we argue that the use of improved muon tracing and scattering angle projection algorithms as well as use of an algebraic reconstruction technique should produce muon tomographic images with improved quality or require fewer muons to produce the same image quality compared to the case where conventional methods are used. We report on the development and assessment of three novel muon tracing methods and two new scattering angle projection methods for {\mu}CT. Simulated dry storage casks with single and partial missing fuel assemblies were used as numerical examples to assess and compare the proposed methods. The simulated images showed an expected improvement in image quality when compared with more conventional techniques, even without muon momentum information, which should lead to improved detection capability, even for partial defects.