Digital pulse shape discrimination methods for phoswich detectors

Author

Wisniewski, Dariusz ; Wisniewska, Monika ; Bruyndonckx, Peter ; Krieguer, Magalie ; Tavernier, Stefaan ; Devroede, Olivier ; Lemaitre, Cedric ; Mosset, Jean B. ; Morel, Christian

Author_Institution

Inst. of Phys., N. Copernicus Univ., Torun

Volume

5

fYear

2005

fDate

23-29 Oct. 2005

Firstpage

2979

Lastpage

2983

Abstract

In this work results of ongoing research are presented for the LYSO/LuYAP phoswich solution adapted in the ClearPETtrade scanner with depth-of-interaction capability. The use of artificial neural network has been found as a very efficient phoswich crystal layer identification method that works for scintillators used at present, as well as on prospective materials. The LYSO/LuAP and LYSO/GSO phoswiches have been identified as a promising candidates for future PET scanners

Keywords

gamma-ray detection; positron emission tomography; solid scintillation detectors; ClearPETtrade scanner; GSO; LYSO; LuAP; LuYAP; artificial neural network; digital pulse shape discrimination methods; phoswich crystal layer identification method; phoswich detectors; scintillators; Artificial neural networks; Crystalline materials; Detectors; Photonic crystals; Positron emission tomography; Pulse shaping methods; Shape; Signal processing; Spatial resolution; Telephony;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium Conference Record, 2005 IEEE

Conference_Location

Fajardo

ISSN

1095-7863

Print_ISBN

0-7803-9221-3

Type

conf

DOI

10.1109/NSSMIC.2005.1596957

Filename

1596957