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
194 Statistical Computing in Nuclear Imaging
6.2.1 SIMPLE TOMOGRAPHIC SYSTEM (STS)
T
he three-voxel model of tomographic system will b e used to demo nstrate
va rious potential a pplications of the theory presented in this book. A similar
system was already introduced in Chapter 3. Here, we slightly generalize the
STS to K detector elements (when introduced in Example 3.2 K was fixed to
3). No restrictions on values o f the elements of the system matrix are used.
Using these assumptions the STS is visualized in Figure 6.5. The voxels are
indicated by c
1
, d
1
, r
1
(voxel 1), c
2
, d
2
, r
2
(voxel 2), and c
3
, d
3
, r
3
(voxel 3)
which correspond to the number of e vents ...
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