1. A SimSET-STIR hybrid Monte Carlo model for the Philips Vereos Digital PET
- Author
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Stephen J. Archibald, Nikos Efthimiou, Manuel Piñeiro-Fiel, Pablo Aguiar, and Jesús Silva-Rodríguez
- Subjects
Hybrid Monte Carlo ,03 medical and health sciences ,Scanner ,0302 clinical medicine ,Computer science ,030220 oncology & carcinogenesis ,Monte Carlo method ,Iterative reconstruction ,Image resolution ,Correction for attenuation ,030218 nuclear medicine & medical imaging ,Computational science - Abstract
The aim of this study was to develop an accurate simulation and reconstruction model for the Philips Vereos digital whole-body PET/CT scanner. The model was developed using the SimSET Monte Carlo (MC) simulation code, storing all detected photons in SimSET list-mode (LM) format (history files). LM processing, binning and image reconstruction were performed using STIR recently added LM capabilities. In order to accurately process the listmode files generated by SimSET, a new interface between SimSET and STIR was developed. The performance of our MC model was evaluated using the NEMA NU2-2012 standard. Spatial resolution was in good agreement with published results(±12%). Count-rate performance was accurate overall, with NEC rates accurate for both low (32.5% vs. 31.7% at ≈ 5 KBq/mL), and high counts (146.2 kcps vs 153.4 at ≈ 55 KBq/mL), and consistent prompts for all the activity concentrations. LM-MLEM reconstruction including scatter and attenuation correction was performed to validate the SimSET-STIR developed interface.
- Published
- 2019