Evaluation of block-sequential regularized expectation maximization reconstruction of ⁶⁸Ga-DOTATOC, ¹⁸F-fluoride, and ¹¹C-acetate whole-body examinations acquired on a digital time-of-flight PET/CT scanner.

ABSTRACT:

Background

Block-sequential regularized expectation maximization (BSREM) is a fully convergent iterative image reconstruction algorithm. We hypothesize that tracers with different distribution patterns will result in different optimal settings for the BSREM algorithm. The aim of this study was to evaluate the image quality with variations in the applied β-value and acquisition time for three positron emission tomography (PET) tracers. NEMA image quality phantom measurements and clinical whole-body digital time-of-flight (TOF) PET/computed tomography (CT) examinations with ⁶⁸Ga-DOTATOC (n = 13), ¹⁸F-fluoride (n = 10), and ¹¹C-acetate (n = 13) were included. Each scan was reconstructed using BSREM with β-values of 133, 267, 400, and 533, and ordered s

SUBMITTER: Lindstrom E 

PROVIDER: S-EPMC7295929 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature