TY - GEN
T1 - Estimation of Timing Resolution for Very Fast Time-Of-Flight Detectors in Monte Carlo Simulations
AU - Efthimiou, Nikos
AU - Emond, Elise
AU - Cawthorne, Chris
AU - Tsoumpas, Charalampos
AU - Thielemans, Kris
N1 - Funding Information:
Manuscript received February 15, 2019. This project was supported by the European Cooperation for Science and Technology Action TD1401: Fast Advanced Scintillation Timing (http://cern.ch/fast-cost), GlaxoSmithKline R&D (BIDS3000030921), the Daisy Appeal Charity and the CCP PET-MR (EPSRC grant EP/M022587/1).We thank Dr. Assem Allam and his family for the generous donation to help found the PET Research Centre at the University of Hull and for their continued support. Elise Emond wishes to thank Yusheng Li for discussions on the model.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/11
Y1 - 2018/11
N2 - In PET imaging the depth of absorption in the crystal contributes to the detection time uncertainty, which impacts the time resolution of the scatter. In addition, affects the nature of the timing distribution. It was found that when Photon Travel Spread (PTS) in the crystal is the only factor affecting the timing uncertainty, in which case, a Laplace kernel might describe the measured data, more accurately. It was shown that for crystals as thin as 20 mm the RMSE of the Laplace was smaller than that of a Normal. While when PTS is combined with an addition coincidence detection resolution (CDR) then, a Normal achieves better RMSE, but with dependency on the crystal size. Results in terms of CRC, of a simulated NEMA phantom, confirmed that reconstruction using a Laplace kernel can model the data better for thicker crystals.
AB - In PET imaging the depth of absorption in the crystal contributes to the detection time uncertainty, which impacts the time resolution of the scatter. In addition, affects the nature of the timing distribution. It was found that when Photon Travel Spread (PTS) in the crystal is the only factor affecting the timing uncertainty, in which case, a Laplace kernel might describe the measured data, more accurately. It was shown that for crystals as thin as 20 mm the RMSE of the Laplace was smaller than that of a Normal. While when PTS is combined with an addition coincidence detection resolution (CDR) then, a Normal achieves better RMSE, but with dependency on the crystal size. Results in terms of CRC, of a simulated NEMA phantom, confirmed that reconstruction using a Laplace kernel can model the data better for thicker crystals.
KW - GATE
KW - LYSO
KW - PET
KW - Scintillation Crystals
KW - STIR
KW - Time-Of-Flight
U2 - 10.1109/NSSMIC.2018.8824748
DO - 10.1109/NSSMIC.2018.8824748
M3 - Conference contribution
AN - SCOPUS:85062439042
BT - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC)
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018
Y2 - 10 November 2018 through 17 November 2018
ER -