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
Résumé
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.
Mots clés
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
Fichier principal
OpenAccess_GDaniel_epjconf_animma2019_06006.pdf (649.78 Ko)
Télécharger le fichier
Origine | Fichiers éditeurs autorisés sur une archive ouverte |
---|---|
licence |