Parallax recovery using neural networks in PET detectors based on continuous scintillators

Author

Bryundonckx, P. ; Léonard, Sophie ; Tavernier, Stefaan

Volume

3

fYear

2003

fDate

19-25 Oct. 2003

Firstpage

2174

Abstract

The photon incidence position onto a continuous scintillator can be obtained from the light distribution measured by a pixilated photon detector such as APD arrays. This information is extracted using a series of neural networks trained for events with a particular incidence angle. Using a 20×10×10 mm block of LSO mounted onto a S8550 Hamamatsu APD matrix we achieved an intrinsic resolution of 1.9 mm FWHM for perpendicular incident photons and 2.6 mm FWHM at a 40° incidence angle.

Keywords

neural nets; positron emission tomography; scintillation counters; 1.9 mm; 10 mm; 2.6 mm; 20 mm; APD arrays; FWHM; LSO; PET detectors; S8550 Hamamatsu APD matrix; continuous scintillators; full width half maximum; incidence angle; light distribution; lutetium oxyorthosilicate; neural networks; parallax recovery; perpendicular incident photons; photon incidence; pixilated photon detector; Costs; Data mining; Intelligent networks; Neural networks; Optical arrays; Photonic crystals; Position measurement; Positron emission tomography; Solid scintillation detectors; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium Conference Record, 2003 IEEE

ISSN

1082-3654

Print_ISBN

0-7803-8257-9

Type

conf

DOI

10.1109/NSSMIC.2003.1352311

Filename

1352311