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
Link To Document :
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