@inproceedings{f7d2e2d2957345e888845a3f520d293f,
title = "A SimSET-STIR hybrid Monte Carlo model for the Philips Vereos Digital PET",
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.",
keywords = "Monte Carlo, PET, Philips Vereos, SimSET, STIR",
author = "J. Silva-Rodriguez and M. Pineiro-Fiel and Archibald, \{S. J.\} and P. Aguiar and N. Efthimiou",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 ; Conference date: 26-10-2019 Through 02-11-2019",
year = "2019",
month = oct,
doi = "10.1109/NSS/MIC42101.2019.9059645",
language = "English",
series = "2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019",
}