Maximum-Likelihood Methods for Processing Signals From Gamma-Ray Detectors

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/28109

Title:	Maximum-Likelihood Methods for Processing Signals From Gamma-Ray Detectors
Authors:	Barrett,HH;Hunter,WCJ;Miller,BW;Moore,SK;Chen,YC;Furenlid,LR
Contributors:	光電科學研究所
Keywords:	MODULAR SCINTILLATION CAMERA;LIST-MODE LIKELIHOOD;IMAGE-RECONSTRUCTION;NUCLEAR-MEDICINE;POSITION;RESOLUTION;ARRAY;PET
Date:	2009
Issue Date:	2010-06-29 19:41:51 (UTC+8)
Publisher:	中央大學
Abstract:	In any gamma-ray detector, each event produces electrical signals on one or more circuit elements. From these signals, we may wish to determine the presence of an interaction; whether multiple interactions occurred; the spatial coordinates in two or three dimensions of at least the primary interaction; or the total energy deposited in that interaction. We may also want to compute listmode probabilities for tomographic reconstruction. Maximum-likelihood methods provide a rigorous and in some senses optimal approach to extracting this information, and the associated Fisher information matrix provides a way of quantifying and optimizing the information conveyed by the detector. This paper will review the principles of likelihood methods as applied to gamma-ray detectors and illustrate their power with recent results from the Center for Gamma-ray Imaging.
Relation:	IEEE TRANSACTIONS ON NUCLEAR SCIENCE
Appears in Collections:	[Graduate Institute of Optics and Photonics] journal & Dissertation

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