Statistical Computing in Nuclear Imaging introduces aspects of Bayesian computing in nuclear imaging. The book provides an introduction to Bayesian statistics and concepts and is highly focused on the computational aspects of Bayesian data analysis of photon-limited data acquired in tomographic measurements. Basic statistical concepts, elements of
Basic Statistical Concepts. Elements of Decision Theory. Counting Statistics. Monte Carlo Methods in Posterior Analysis. Basics of Nuclear Imaging. Statistical Computing. Appendix A Probability Distributions. Appendix B Elements of Set Theory. Appendix C Multinomial Distribution of Single-Voxel Imaging. Appendix D Derivations of Sampling Distribution Ratios. Appendix E Equation (6.11). Appendix F C++ Code of the OE Algorithm for STS. References.