Digital Position Estimation for the Modular Scintillation Camera

Author

Milster, T.D. ; Selberg, L.A. ; Barrett, H.H. ; Landesman, A.L. ; Seacat, R.H., III

Author_Institution

Department of Radiology Arizona Health Sciences Center University of Arizona Tucson, Arizona 85724 and Optical Sciences Center University of Arizona Tucson, Arizona 85721

Volume

32

Issue

1

fYear

1985

Firstpage

748

Lastpage

752

Abstract

Digital implementation of position estimation for the modular scintillation camera is presented. The modular camera system, introduced at the 1983 IEEE Nuclear Science Symposium, comprises an array of small, mechanically and electronically independent, all-digital scintillation cameras. This paper addresses how to best determine the event position given the PMT signals. Two Bayesian estimators are investigated, namely maximum-likelihood (ML) and minimum-meansquare-error (MS) estimators. Both estimators performed similarly. The more important aspect of the estimation problem was found to be the shape of the detector responses as a function of position.

Keywords

Bayesian methods; Biomedical optical imaging; Digital cameras; Maximum likelihood detection; Maximum likelihood estimation; Nuclear and plasma sciences; Optical coupling; Photonic crystals; Radiology; Single photon emission computed tomography;

fLanguage

English

Journal_Title

Nuclear Science, IEEE Transactions on

Publisher

ieee

ISSN

0018-9499

Type

jour

DOI

10.1109/TNS.1985.4336935

Filename

4336935