DOI: 10.1186/s40658-017-0176-5Pages: 1-6

Digital PET compliance to EARL accreditation specifications

1. Isala Hospital, Department of Nuclear Medicine

2. University of Twente, MIRA Institute for Biomedical Technology and Technical Medicine

3. Health Systems, Philips Benelux

4. Isala Hospital, Department of Medical Physics

Correspondence to:
Daniëlle Koopman
Tel: +31 384245238
Email: d.koopman@isala.nl

Close

Abstract

Background

Our aim was to evaluate if a recently introduced TOF PET system with digital photon counting technology (Philips Healthcare), potentially providing an improved image quality over analogue systems, can fulfil EANM research Ltd (EARL) accreditation specifications for tumour imaging with FDG-PET/CT.

Findings

We have performed a phantom study on a digital TOF PET system using a NEMA NU2-2001 image quality phantom with six fillable spheres. Phantom preparation and PET/CT acquisition were performed according to the European Association of Nuclear Medicine (EANM) guidelines. We made list-mode ordered-subsets expectation maximization (OSEM) TOF PET reconstructions, with default settings, three voxel sizes (4 × 4 × 4 mm3, 2 × 2 × 2 mm3 and 1 × 1 × 1 mm3) and with/without point spread function (PSF) modelling.

On each PET dataset, mean and maximum activity concentration recovery coefficients (RCmean and RCmax) were calculated for all phantom spheres and compared to EARL accreditation specifications. The RCs of the 4 × 4 × 4 mm3 voxel dataset without PSF modelling proved closest to EARL specifications. Next, we added a Gaussian post-smoothing filter with varying kernel widths of 1–7 mm. EARL specifications were fulfilled when using kernel widths of 2 to 4 mm.

Conclusions

TOF PET using digital photon counting technology fulfils EARL accreditation specifications for FDG-PET/CT tumour imaging when using an OSEM reconstruction with 4 × 4 × 4 mm3 voxels, no PSF modelling and including a Gaussian post-smoothing filter of 2 to 4 mm.

This article is freely available, click here to access the full text/PDF

  • Accepted: Jan 17, 2017
  • Online: Jan 31, 2017

Article Tools

eanm
EJNMMI Ad