Compton imaging reconstruction methods: a comparative performance study of direct back-projection, SOE, a new Bayesian algorithm and a new Compton inversion method applied to real data with Caliste

G. Daniel (1) , O. Limousin (2) , D. Maier (2) , A. Meuris (2) , Frédérick Carrel (3)

1 ENPC - École des Ponts ParisTech
2 AIM (UMR_7158 / UMR_E_9005 / UM_112) - Astrophysique Interprétation Modélisation
3 LCAE (CEA, LIST) - Laboratoire Capteurs et Architectures Electroniques (CEA, LIST)

Compton imaging is one of the main methods to localize radioactive hotspots, which emit high-energy gamma-ray photons, above 200 keV. Most of the Compton imaging systems are composed by at least two detection layers or one 3D position sensitive detector. In this study, we demonstrate the application of a new miniature pixelated single plane detector to Compton imaging. In this configuration, we do not have the information on interaction depth but we successfully test its ability to perform Compton localization by means of comparing different Compton reconstruction algorithms applied to real data measured with our single plane detection system.

Keywords: radioactivity; ionizing radiation; instrumentation; nuclear instrumentation; Compton imaging; radioactive hotspot localizeation; gamma-rays; high-energy gamma-ray photons; detection layers; detector; 3D position sensitive detector; gamma imaging; miniature pixelated detector; single plane detector; interaction depth; Compton localization; Compton reconstruction algorithm; electronic architecture; SOE; Bayes; Caliste; Compton inversion

Domains: Signal and Image Processing; Instrumentation and Detectors [physics.ins-det]; Electronics

G. Daniel, O. Limousin, D. Maier, A. Meuris, Frédérick Carrel. Compton imaging reconstruction methods: a comparative performance study of direct back-projection, SOE, a new Bayesian algorithm and a new Compton inversion method applied to real data with Caliste. ANIMMA 2019 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications, Jun 2019, Portorož, Slovenia. pp.06006, ⟨10.1051/epjconf/202022506006⟩. ⟨cea-04565751⟩