Surrogate Distributed Radiological Sources—Part III: Quantitative Distributed Source Reconstructions

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Authors: Jayson R. Vavrek, Jaewon Lee, M. Salathe, Mark S. Bandstra, Daniel Hellfeld, Brian J. Quiter, Tenzing H. Y. Joshi
Cited by: 0
References: 30

Abstract

In this third part of a multi-paper series, we present quantitative image reconstruction results from aerial measurements of eight different surrogate distributed gamma-ray sources on flat terrain. We show that our quantitative imaging methods can accurately reconstruct the expected shapes, and, after appropriate calibration, the absolute activity of the distributed sources. We conduct several studies of imaging performance versus various measurement and reconstruction parameters, including detector altitude and raster pass spacing, data and modeling fidelity, and regularization type and strength. The imaging quality performance is quantified using various quantitative image quality metrics. Our results confirm the utility of point source arrays as surrogates for truly distributed radiological sources, and advance the quantitative capabilities of Scene Data Fusion gamma-ray imaging methods.

Fields of Study & Subjects

Geophysical Methods and Applications Medical Imaging Techniques and Applications Radiation Detection and Scintillator Technologies

Publication details

Journal / source
IEEE Transactions on Nuclear Science
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
73
Issue
7
Pages
2728–2740
Publication date
1 June 2026
Language
EN