ABSTRACT
In addition to the common denominator described in the previous paragraph, different systems exhibit different characteristics and nuances. Since the goal of this book is to provide a general framework to application of Bayesian statistics in nuclear imaging we will not describe any specific implementations for specified modalities, but instead provide examples of the computation based on a very simple model. It is our intent to provide easyto-understand examples of implementations of statistical principles that can be extended to more complex imaging systems. We see the examples included in this section as a guide for investigators or programmers wishing to implement the methods described in this book to specific problems they face. The analysis of any imaging system (with any complexity) with any physical characteristics can be implemented based on examples of Bayesian statistical computing included in this chapter.
