Benchmarking a Monte Carlo simulation code on a prototype LSO scanner

Author

Conti, Maurizio ; Casey, Michael E. ; Eriksson, Lars ; Eriksson, Marita

Author_Institution

CPS Innovations, Knoxville, TN, USA

Volume

49

Issue

3

fYear

2002

fDate

6/1/2002 12:00:00 AM

Firstpage

644

Lastpage

648

Abstract

A Monte Carlo simulation code has been developed to predict new positron emission tomography (PET) scanner performance such as sensitivity and scatter fraction or to obtain physics information such as deposited energy spectra. The code has been tested on a PET prototype based on lutetium-ortho-silicate (LSO) panel detectors and its results are in excellent agreement with experimental data; in particular, a comparison of noise-equivalent count-rate curves is presented. Coupling the accurate physics embedded in Monte Carlo simulation and a scanner modeling allowed us to obtain a reliable tool for the PET scanner design.

Keywords

Monte Carlo methods; medical diagnostic computing; positron emission tomography; solid scintillation detectors; LSO detector; Monte Carlo simulation code; PET scanner; benchmarking; noise-equivalent count-rate curves; scatter fraction; sensitivity; Detectors; Electromagnetic scattering; Event detection; Imaging phantoms; Particle scattering; Physics; Positron emission tomography; Rayleigh scattering; Testing; Virtual prototyping;

fLanguage

English

Journal_Title

Nuclear Science, IEEE Transactions on

Publisher

ieee

ISSN

0018-9499

Type

jour

DOI

10.1109/TNS.2002.1039543

Filename

1039543