Quantification Issues in Imaging Data of MADPET-II small animal PET scanner using a system matrix based on Monte Carlo techniques

Author

Torres-Espallardo, Irene ; Spanoudaki, Virginia Ch. ; Rafecas, Magdalena ; Schirmer, Jasmine ; Ziegler, Sibylle I.

Volume

6

fYear

2007

fDate

Oct. 26 2007-Nov. 3 2007

Firstpage

4192

Lastpage

4197

Abstract

MADPET-II is a small animal PET scanner for radiopharmaceutical studies. The aim of this work is to compare different schemes for sorting the singles and to evaluate them in terms of the quality of the reconstructed images. A system matrix has been built for the different sorting schemes using GATE (Geant4 application for emission tomography). For the correction of the random coincidences, the delayed window (DW) method and the singles rate (SR) method have been implemented to estimate the accidental coincidences. Related to normalization, we plan to study the feasibility of using singles measurements for estimating the efficiency factors.

Keywords

Monte Carlo methods; image reconstruction; image resolution; iterative methods; matrix algebra; medical image processing; positron emission tomography; 3D iterative techniques; GATE; Geant4 application for emission tomography; MADPET-II imaging data; Monte Carlo techniques; delayed window method; depth-of-interaction information; field of view reconstruction; low energy thresholds; radiopharmaceutical studies; random coincidence correction; reconstructed image quality; single rate method; small animal PET scanner; sorting schemes; spatial resolution; system matrix; Animals; Delay estimation; Detectors; Event detection; Image reconstruction; Monte Carlo methods; Photonic crystals; Positron emission tomography; Sorting; Spatial resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium Conference Record, 2007. NSS '07. IEEE

Conference_Location

Honolulu, HI

ISSN

1095-7863

Print_ISBN

978-1-4244-0922-8

Electronic_ISBN

1095-7863

Type

conf

DOI

10.1109/NSSMIC.2007.4437042

Filename

4437042