Arkadiusz Sitek

Statistical Computing in Nuclear Imaging (eBook, PDF)

• Format: PDF

Produktbeschreibung

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

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 275
• Erscheinungstermin: 17. Dezember 2014
• Englisch
• ISBN-13: 9781498729307
• Artikelnr.: 57082230

Autorenporträt

Arkadiusz Sitek is an associate physicist at Massachusetts General Hospital in Boston and an assistant professor at Harvard Medical School. He received his doctorate from the University of British Columbia in Canada and since 2001 has worked as a nuclear imaging scientist in the Lawrence Berkeley National Laboratory, Beth Israel Medical Center, and Brigham and Women's Hospital before joining Massachusetts General Hospital. He has authored more than 100 scientific journal and proceedings papers, book chapters, and patents, and served as a principal investigator on nuclear imaging research projects. Dr. Sitek is a practitioner of the Bayesian school of thought and a member of the International Society for Bayesian Analysis.

Inhaltsangabe

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.