Detectability of small objects in PET/computed tomography phantom images with Bayesian penalised likelihood reconstruction.

Objectives: This study investigated the subcentimetre lesion detection gains of a Bayesian penalised likelihood reconstruction (BPLR) (Q.Clear, GE Healthcare, Milwaukee, USA) in PET/computed tomography (CT) phantom images and compares observer performance with ordered subset expectation maximisation (OSEM) reconstruction images (VUE Point HD, GE Healthcare).

Methods: Images were presented to three blinded experienced observers to identify lesions and assign confidence ratings.