Digital Coincidence Processing for the RatCAP Conscious Rat Brain PET Scanner

Author

Park, S.-J. ; Southekal, S. ; Purschke, M. ; Junnarkar, S.S. ; Pratte, J.-F. ; Stoll, S.P. ; Woody, C.L. ; Schlyer, D.J. ; Vaska, P.

Author_Institution

Brookhaven Nat. Lab., Upton

Volume

55

Issue

1

fYear

2008

Firstpage

510

Lastpage

515

Abstract

The RatCAP has been designed and constructed to image the awake rat brain. In order to maximize system performance, offline digital coincidence data processing algorithms including offset delay correction and prompt and delayed coincidence detection have been developed and validated. With offset delay correction using a singular value decomposition (SVD) technique, overall time resolution was improved from 32.6 to 17.6 ns FWHM. The experimental results confirm that the ratio of prompts to randoms was improved because a narrower timing window could be used. ¹⁸F-fluoride rat bone scan data were reconstructed using our fully 3-D ML-EM algorithm with a highly accurate detector response model created from Monte Carlo simulation.

Keywords

Monte Carlo methods; brain; medical image processing; neurophysiology; positron emission tomography; singular value decomposition; 3D ML-EM algorithm; ¹⁸F-fluoride rat bone scan; Monte Carlo simulation; RatCAP; conscious rat brain PET scanner; delayed coincidence detection; digital coincidence data processing; offset delay correction; prompt coincidence detection; singular value decomposition; Animals; Application specific integrated circuits; Data acquisition; Data processing; Delay effects; Detectors; Image reconstruction; Positron emission tomography; Singular value decomposition; Timing; Awake rat; RatCAP; offset delay correction; singular value decomposition (SVD);

fLanguage

English

Journal_Title

Nuclear Science, IEEE Transactions on

Publisher

ieee

ISSN

0018-9499

Type

jour

DOI

10.1109/TNS.2007.912876

Filename

4448516