Muon absorption tomography of a lead structure through the use of iterative algorithms

TL;DR

This paper demonstrates the use of muon absorption radiography combined with iterative algorithms to reconstruct the 3D structure of complex lead block arrangements, improving imaging accuracy over traditional methods.

Contribution

It introduces an iterative SART algorithm for muon tomography of complex geometries, outperforming Chi-squared minimization techniques.

Findings

SART provides clearer images of lead structures.

Muon absorption tomography effectively images complex geometries.

Iterative algorithms enhance reconstruction quality.

Abstract

The muon radiography technique is part of the straight-ray scanning imaging methods and it is usually employed to produce two-dimensional images of the integrated density in the radial direction from the detector position. However, in the literature there are already some examples of muon tomographies made by combining several measurements from different observation points. The work presented in this article fits into this line of research: a tomography of a target composed of lead blocks arranged in a non-trivial geometry was carried out by means of muon absorption radiography measurements. To solve the inversion problem, an iterative algorithm called SART was employed, obtaining better results than using a Chi-squared minimization.