DocumentCode :
851537
Title :
Noise Identification and Removal in Positron Imaging Systems
Author :
King, P.H. ; Hubner, K. ; Gibbs, W. ; Holloway, E.
Author_Institution :
Biomedical Engineering Department Vanderbilt University Nashville, TN 37830
Volume :
28
Issue :
1
fYear :
1981
Firstpage :
148
Lastpage :
151
Abstract :
The noise (scattered and random) generated in two positron emission imaging systems has been studied and mathematically modeled as an exponential convolving function. Compton scattering is presumed to be a dominant factor, as opposed to random events. Deconvolution of the sensed data has enabled us to eliminate noise and to obtain images which can be quantified. Further, these images have improved diagnostic quality.
Keywords :
Biomedical imaging; Circuit noise; Event detection; Geometry; Noise figure; Noise measurement; Noise shaping; Positrons; Scattering; Shape;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/TNS.1981.4331157
Filename :
4331157
Link To Document :
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