Literature DB >> 28452339

Advanced optical simulation of scintillation detectors in GATE V8.0: first implementation of a reflectance model based on measured data.

Mariele Stockhoff1, Sebastien Jan, Albertine Dubois, Simon R Cherry, Emilie Roncali.   

Abstract

Typical PET detectors are composed of a scintillator coupled to a photodetector that detects scintillation photons produced when high energy gamma photons interact with the crystal. A critical performance factor is the collection efficiency of these scintillation photons, which can be optimized through simulation. Accurate modelling of photon interactions with crystal surfaces is essential in optical simulations, but the existing UNIFIED model in GATE is often inaccurate, especially for rough surfaces. Previously a new approach for modelling surface reflections based on measured surfaces was validated using custom Monte Carlo code. In this work, the LUT Davis model is implemented and validated in GATE and GEANT4, and is made accessible for all users in the nuclear imaging research community. Look-up-tables (LUTs) from various crystal surfaces are calculated based on measured surfaces obtained by atomic force microscopy. The LUTs include photon reflection probabilities and directions depending on incidence angle. We provide LUTs for rough and polished surfaces with different reflectors and coupling media. Validation parameters include light output measured at different depths of interaction in the crystal and photon track lengths, as both parameters are strongly dependent on reflector characteristics and distinguish between models. Results from the GATE/GEANT4 beta version are compared to those from our custom code and experimental data, as well as the UNIFIED model. GATE simulations with the LUT Davis model show average variations in light output of  <2% from the custom code and excellent agreement for track lengths with R 2  >  0.99. Experimental data agree within 9% for relative light output. The new model also simplifies surface definition, as no complex input parameters are needed. The LUT Davis model makes optical simulations for nuclear imaging detectors much more precise, especially for studies with rough crystal surfaces. It will be available in GATE V8.0.

Mesh:

Year:  2017        PMID: 28452339     DOI: 10.1088/1361-6560/aa7007

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  8 in total

1.  Dual-ended readout of bismuth germanate to improve timing resolution in time-of-flight PET.

Authors:  Sun Il Kwon; Emilie Roncali; Alberto Gola; Giovanni Paternoster; Claudio Piemonte; Simon R Cherry
Journal:  Phys Med Biol       Date:  2019-05-10       Impact factor: 3.609

2.  Study of Čerenkov Light Emission in the Semiconductors TlBr and TlCl for TOF-PET.

Authors:  Gerard Ariño-Estrada; Emilie Roncali; Aaron R Selfridge; Junwei Du; Jaroslaw Glodo; Kanai S Shah; Simon R Cherry
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-09-17

3.  Integration of polarization in the LUTDavis model for optical Monte Carlo simulation in radiation detectors.

Authors:  Carlotta Trigila; Emilie Roncali
Journal:  Phys Med Biol       Date:  2021-10-22       Impact factor: 4.174

4.  Modelling the transport of optical photons in scintillation detectors for diagnostic and radiotherapy imaging.

Authors:  Emilie Roncali; Mohammad Amin Mosleh-Shirazi; Aldo Badano
Journal:  Phys Med Biol       Date:  2017-10-04       Impact factor: 3.609

5.  Monte Carlo simulation of digital photon counting PET.

Authors:  Julien Salvadori; Joey Labour; Freddy Odille; Pierre-Yves Marie; Jean-Noël Badel; Laëtitia Imbert; David Sarrut
Journal:  EJNMMI Phys       Date:  2020-04-25

6.  Cerenkov light transport in scintillation crystals explained: realistic simulation with GATE.

Authors:  Emilie Roncali; Sun Il Kwon; Sebastien Jan; Eric Berg; Simon R Cherry
Journal:  Biomed Phys Eng Express       Date:  2019-04-17

7.  Optimization of scintillator-reflector optical interfaces for the LUT Davis model.

Authors:  Carlotta Trigila; Emilie Roncali
Journal:  Med Phys       Date:  2021-08-03       Impact factor: 4.506

8.  Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners.

Authors:  Nikos Efthimiou; Kris Thielemans; Elise Emond; Chris Cawthorne; Stephen J Archibald; Charalampos Tsoumpas
Journal:  EJNMMI Phys       Date:  2020-06-19
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.