Abstract
Over the last several years, Bayesian decision and estimation theory has become a central theme in the nuclear medicine research program at the University of Arizona. We have used concepts from this theory for image reconstruction, evaluation and optimization of imaging systems, position arithmetic in scintillation cameras, and in decision making in the operating room. In this paper, a brief review of Bayesian theory is given, followed by a survey of all of these applications, with emphasis on points of commonality among them.
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© 1988 Springer Science+Business Media New York
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Barrett, H.H. et al. (1988). Applications of Statistical Decision Theory in Nuclear Medicine. In: de Graaf, C.N., Viergever, M.A. (eds) Information Processing in Medical Imaging. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-7263-3_9
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DOI: https://doi.org/10.1007/978-1-4615-7263-3_9
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