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Fig. 2 | EJNMMI Physics

Fig. 2

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. 2

Representative images of a 66-year-old man with a body mass index of 20.7 kg/m2 and 59 kg body weight who underwent 18F-FDG PET/CT for staging of lung cancer. The patient was injected with 117.9 MBq of 18F-FDG (i.e., 2.0 MBq/kg body weight), according to the BMI-adapted dosage protocol developed for digital PET [14]. Co-registered PET/CT images (a, b) show a highly 18F-FDG-avid tumor in the right lower lobe, which was confirmed as adenocarcinoma after wedge resection. Axial PET images are given in c–i, showing OSEMTOF (c), OSEMPSF (d), BSREM350 (e), BSREM450 (f), BSREM600 (g), BSREM800 (h), and BSREM1200 (i)

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