Statistical computing in nuclear imaging / by Arkadiusz Sitek.

Format:

Book

Author/Creator:

Sitek, Arkadiusz, author.

Series:

Series in medical physics and biomedical engineering.

Series in medical physics and biomedical engineering

Language:

English

Subjects (All):

Magnetic resonance imaging--Technological innovations.

Magnetic resonance imaging.

Magnetic resonance imaging--Statistical methods.

Medical statistics--Data processing.

Medical statistics.

Physical Description:

1 online resource (264 p.)

Edition:

First edition.

Place of Publication:

Boca Raton, FL : CRC Press, an imprint of Taylor and Francis, 2014.

Language Note:

English

Summary:

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.

Contents:

Front Cover; Statistical Computing in Nuclear Imaging; Series in Medical Physics and Biomedical Engineering; Dedication; Contents; List of Figures; List of Tables; About the Series; Preface; About the Author; Chapter 1 Basic statistical concepts; Chapter 2 Elements of decision theory; Chapter 3 Counting statistics; Chapter 4 Monte Carlo methods in posterior analysis; Chapter 5 Basics of nuclear imaging; Chapter 6 Statistical computing; Appendix A Probability distributions; Appendix B Elements of set theory; Appendix C Multinomial distribution of singlevoxel

Appendix D Derivations of sampling distribution ratiosAppendix E Equation (6.11); Appendix F C++ OE code for STS; References; Back Cover

Notes:

Description based upon print version of record.

Includes bibliographical references (pages 231-238) and index.

Description based on print version record.

ISBN:

1-04-005593-1

0-429-09154-0

1-4987-2930-4

9780429091544

OCLC:

900870328