MLE (Maximum Likelihood Estimator) reconstruction of a brain phantom using a Monte Carlo transition matrix and a statistical stopping rule
Description:
In order to study properties of the Maximum Likelihood Estimator (MLE) algorithm for image reconstruction in Positron Emission Tomographyy (PET), the algorithm is applied to data obtained by the ECAT-III tomograph from a brain phantom. The procedure for subtracting accidental coincidences from the data stream generated by this physical phantom is such that he resultant data are not Poisson distributed. This makes the present investigation different from other investigations based on computer-si…
more
Date:
October 1, 1987
Creator:
Veklerov, E.; Llacer, J. & Hoffman, E.J.
Item Type:
Refine your search to only
Article
Partner:
UNT Libraries Government Documents Department