Skip to Main Content
Statistical Computing in Nuclear Imaging
book

Statistical Computing in Nuclear Imaging

by Arkadiusz Sitek
December 2014
Intermediate to advanced content levelIntermediate to advanced
275 pages
9h 12m
English
CRC Press
Content preview from Statistical Computing in Nuclear Imaging
C
Multinomial distribution of
single-voxel imaging
In this appendix we derive the distribution p(y
1
|d
1
) from the basic principles
where y
1
is the vector of the number of detected events originated in a voxel 1
and d
1
is the number of decays in voxel 1. Therefore it is a model of a simple
imaging system with many detector elements and a single voxel. A figure
showing a schematic of such a s ystem is shown in Chapter 3 in Fig ure 3.5.
The der ivation may seem at first quite complex and convoluted, and the
result quite obvious. We strongly encourage, however, careful study of the
appendix, as it provides insights into a general approach o n handling the
statistics ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Industrial Statistics with Minitab

Industrial Statistics with Minitab

Pere Grima Cintas, Lluis Marco Almagro, Xavier Tort-Martorell Llabres
Learning Bayesian Models with R

Learning Bayesian Models with R

Hari Manassery Koduvely

Publisher Resources

ISBN: 9781439849347