Paper
16 March 2011 Full modeling of AX-PET: a new PET device with axially oriented crystals based on Geant4 and GATE
P. Solevi, J. F. Oliver, J. Gillam, M. Rafecas
Author Affiliations +
Abstract
AX-PET is a novel PET detector based on long axially arranged crystals and orthogonal Wavelength shifter (WLS) strips, both individually readout by Geiger-mode Avalanche Photo Diodes (G-APD). Its design was conceived in order to reduce the parallax error and simultaneously improve spatial resolution and sensitivity. The sensitivity can be further enhanced by adding additional crystal layers as well as by including Inter-Crystal Scatter (ICS) events, identified and processed post-acquisition. Its unique features require dedicated Monte Carlo (MC) simulations and its non-conventional design makes modeling rather challenging. We developed an AX-PET model based on Geant4 and GATE packages. Simulations were extensively validated against experimental data obtained from both small scale laboratory and full module setups. The first simulations aimed at developing an analytical model of the WLS behavior which was afterwards coupled to GATE. Full AX-PET acquisitions were used to test the GATE simulations. The agreement between data and simulations was very good. AX-PET simulations are employed to test and optimize image reconstruction software and, at the same time, train ICS identification and reconstruction algorithms.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
P. Solevi, J. F. Oliver, J. Gillam, and M. Rafecas "Full modeling of AX-PET: a new PET device with axially oriented crystals based on Geant4 and GATE", Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 796145 (16 March 2011); https://doi.org/10.1117/12.877766
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Crystals

Monte Carlo methods

Computer simulations

Positron emission tomography

Sensors

Image restoration

Optical simulations

Back to Top