Statistical computing in nuclear imaging

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Title:

Author:

Sitek, Arkadiusz, author.

ISBN:

9780429091544

Edition:

First edition.

Physical Description:

1 online resource (275 pages) : 96 illustrations.

Series:

Series in medical physics and biomedical engineering

Series in medical physics and biomedical engineering.

Contents:

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.

Abstract:

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.

Subject Term:

TECHNOLOGY & ENGINEERING / Imaging Systems.

TECHNOLOGY & ENGINEERING / Biomedical.

Bayes Theorem.

Computing Methodologies.

Diagnostic Imaging -- statistics & numerical data.

Magnetic resonance imaging -- Statistical methods.

Magnetic resonance imaging -- Technological innovations.

Medical statistics -- Data processing.

Models, Theoretical.

Statistics as Topic.

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