Surrogate distributed radiological sources III: quantitative distributed source reconstructions

作     者：Vavrek, Jayson R. Lee, Jaewon Salathe, Marco Bandstra, Mark S. Hellfeld, Daniel Quiter, Brian J. Joshi, Tenzing H.Y. 

作者机构：Applied Nuclear Physics program Lawrence Berkeley National Laboratory United States Department of Nuclear Engineering UC Berkeley United States 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2024年

核心收录：

主　　题：Data fusion 

摘      要：In this third part of a multi-paper series, we present quantitative image reconstruction results from aerial measurements of eight different surrogate distributed gammaray 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, advancing the quantitative capabilities of Scene Data Fusion gamma-ray imaging methods. Copyright © 2024, The Authors. All rights reserved.