A clinical evaluation of the impact of the Bayesian penalized likelihood reconstruction algorithm on PET FDG metrics
Purpose: The aim of this study was to evaluate the impact of using the Bayesian penalized likelihood (BPL) algorithm on a bismuth germanium oxide positron emission tomography (PET)/computed tomography (CT) system for 18F-FDG PET/CT exams in case of low injected activity and scan duration.
Materials and methods: 18F-FDG respiratory gated PET/CT performed on 102 cancer patients, injected with ∼2 MBq/kg of 18F-FDG, were reconstructed using two algorithms: ordered subset expectation maximization (OSEM) and BPL. The signal-to-noise ratio (SNR) was calculated as the ratio of mean standard uptake value (SUV) over the standard deviation in a reference volume defined automatically in the liver. The peak SUV and volumes were also measured in lesions larger than 2 cm3 thanks to the automated segmentation method.
Results: On 85 respiratory gated patients, the median SNR was significantly higher with BPL (P
Source: Nuclear Medicine Communications - Category: Nuclear Medicine Tags: Original Articles Source Type: research
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