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Feasible images and practical stopping rules for iterative algorithms in emission tomography

Journal Article · · IEEE Transactions of Medical Imaging; (USA)
DOI:https://doi.org/10.1109/42.24867· OSTI ID:5185241
;  [1]
  1. Lawrence Berkeley Lab., CA (USA)
In this paper the authors discuss causes for image deterioration in the maximum likelihood estimator (MLE) method of tomographic image reconstruction that we initiated with the publication of a stopping rule for that iterative process. They introduce the concept of a feasible image, which is a result of a reconstruction that, if it were a radiation field, could have generated the initial projection data by the Poisson process that governs radioactive decay. From the premise that the result of a reconstruction should be feasible, they examine the shape and characteristics of the region of feasibility in projection space.
DOE Contract Number:
AC03-76SF00098
OSTI ID:
5185241
Journal Information:
IEEE Transactions of Medical Imaging; (USA), Journal Name: IEEE Transactions of Medical Imaging; (USA) Vol. 8:2; ISSN ITMID; ISSN 0278-0062
Country of Publication:
United States
Language:
English