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Fig. 3 | EJNMMI Physics

Fig. 3

From: Impact of a Bayesian penalized likelihood reconstruction algorithm on image quality in novel digital PET/CT: clinical implications for the assessment of lung tumors

Fig. 3

Representative images of a 53-year-old man with a body mass index of 19.1 kg/m2 and 66 kg body weight who underwent 18F-FDG PET/CT for staging of lung cancer. The patient was injected with 99.8 MBq of 18F-FDG (i.e., 1.5 MBq/kg body weight). Coronal and axial co-registered PET/CT images (a, b) show a highly 18F-FDG-avid tumor invading the right main bronchus, which was confirmed as squamous cell carcinoma (arrow) after right-sided pneumonectomy (c). Coronal PET images show OSEMTOF (d), OSEMPSF (e), and BSREM600 (f) reconstruction together with SUVmax of the primary tumor

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