Reconstructing the Position and Intensity of Multiple Gamma-Ray Point Sources with a Sparse Parametric Algorithm

Abstract

We present an experimental demonstration of Additive Point Source Localization (APSL), a sparse parametric imaging algorithm that reconstructs the 3D positions and activities of multiple gamma-ray point sources. Using a handheld gamma-ray detector array and up to four $8$ $\mu$Ci ${}^{137}$Cs gamma-ray sources, we performed both source-search and source-separation experiments in an indoor laboratory environment. In the majority of the source-search measurements, APSL reconstructed the correct number of sources with position accuracies of $\sim 20$ cm and activity accuracies (unsigned) of $\sim 20\%$, given measurement times of two to three minutes and distances of closest approach (to any source) of $\sim 20$ cm. In source-separation measurements where the detector could be moved freely about the environment, APSL was able to resolve two sources separated by $75$ cm or more given only $\sim 60$ s of measurement time. In these source-separation measurements, APSL produced larger total activity errors of $\sim 40\%$, but obtained source separation distances accurate to within $15$ cm. We also compare our APSL results against traditional Maximum Likelihood-Expectation Maximization (ML-EM) reconstructions, and demonstrate improved image accuracy and interpretability using APSL over ML-EM. These results indicate that APSL is capable of accurately reconstructing gamma-ray source positions and activities using measurements from existing detector hardware.

10 pages, 9 figures. Accepted for publication at IEEE Transactions on Nuclear Science

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Cited by in corpus (3)

• Free-moving Quantitative Gamma-ray Imaging
• Improved Gamma-Ray Point Source Quantification in Three Dimensions by Modeling Attenuation in the Scene
• Mapping the Minimum Detectable Activities of Gamma-Ray Sources in a 3-D Scene