Optimising quantitative ⁹⁰Y PET imaging: an investigation into the effects of scan length and Bayesian penalised likelihood reconstruction.

ABSTRACT:

Background

Positron emission tomography (PET) imaging of ⁹⁰Y following selective internal radiation therapy (SIRT) is possible, but image quality is poor, and therefore, accurate quantification and dosimetry are challenging. This study aimed to quantitatively optimise ⁹⁰Y PET imaging using a new Bayesian penalised likelihood (BPL) reconstruction algorithm (Q.Clear, GE Healthcare). The length of time per bed was also investigated to study its impact on quantification accuracy.

Methods

A NEMA IQ phantom with an 8:1 sphere-to-background ratio was scanned overnight on a GE Discovery 710 PET/CT scanner. Datasets were rebinned into varying lengths of time (5-60 min); the 15-min rebins were reconstructed using BPL reconstruction with a range of noise penalisat

SUBMITTER: Scott NP 

PROVIDER: S-EPMC6510762 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature