DocumentCode
1045860
Title
Recursive calculation of the two-dimensional maximum likelihood position estimate for a scintillation camera
Author
Liu, X. ; Clinthorne, N.H. ; Shao, L. ; Koral, K.F. ; Rogers, W.L.
Author_Institution
Michigan Univ., Ann Arbor, MI, USA
Volume
37
Issue
2
fYear
1990
fDate
4/1/1990 12:00:00 AM
Firstpage
713
Lastpage
717
Abstract
Maximum likelihood position estimation of a scintillation event in a gamma-ray imaging detector has been described using two independent one-dimensional estimates in x and y . This approximation is only valid when the sampled light-spread function is separable, and spatial distortion is observed when this constraint is violated. Recursive calculation of the 2-D position estimate using a sequence of one-dimensional estimates was investigated. Mean phototube response functions were computed from Monte Carlo simulations of the light-spread function, and position was estimated for scintillation events using recursive estimation. After three steps the maximum errors were |δx |=0.04 mm and |δy |=0.06 mm for the case of noise-free data and when mean response functions were known at each estimated location. Using response functions interpolated over 6-mm intervals gave increased distortion with average x and y errors of 0.097 and 0.082 mm, respectively
Keywords
Monte Carlo methods; biomedical equipment; cameras; gamma-ray detection and measurement; radioisotope scanning and imaging; scintillation counters; Monte Carlo simulations; gamma-ray imaging detector; light-spread function; maximum errors; noise-free data; one-dimensional estimates; phototube response functions; recursive estimation; scintillation camera; spatial distortion; two-dimensional maximum likelihood position estimate; Cameras; Maximum likelihood estimation; Optical arrays; Optical distortion; Optical refraction; Optical variables control; Photomultipliers; Recursive estimation; Scintillation counters; Solid scintillation detectors;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/23.106703
Filename
106703
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