2014
DOI: 10.1016/j.radphyschem.2013.09.006
|View full text |Cite
|
Sign up to set email alerts
|

Accurate 3D reconstruction by a new PDS-OSEM algorithm for HRRT

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 22 publications
0
2
0
Order By: Relevance
“…To avoid bias from the non-negativity constraint, 3D ordinary Poisson OSEM (OP-OSEM) can be used as an alternative iterative reconstruction method as it implements all required data corrections in a way that preserves non-negativity during the reconstruction [ 6 , 12 ]. However, 3D OP-OSEM uses observed random and scattered coincidence events without updating them for each iteration step during the image reconstruction [ 13 ]. The accuracy of this method has been studied and a bias of 10% or more was reported [ 11 ] in regions of a homogeneous phantom.…”
Section: Introductionmentioning
confidence: 99%
“…To avoid bias from the non-negativity constraint, 3D ordinary Poisson OSEM (OP-OSEM) can be used as an alternative iterative reconstruction method as it implements all required data corrections in a way that preserves non-negativity during the reconstruction [ 6 , 12 ]. However, 3D OP-OSEM uses observed random and scattered coincidence events without updating them for each iteration step during the image reconstruction [ 13 ]. The accuracy of this method has been studied and a bias of 10% or more was reported [ 11 ] in regions of a homogeneous phantom.…”
Section: Introductionmentioning
confidence: 99%
“…To avoid bias from the non-negativity constraint, 3D ordinary Poisson OSEM (OP-OSEM) can be used as an alternative iterative reconstruction method as it implements all required data corrections in a way that preserves non-negativity during the reconstruction (6,12). However, 3D OP-OSEM uses observed random and scattered coincidence events without updating them for each iteration step during the image reconstruction (13). The accuracy of this method has been studied and a bias of 10% or more was reported (11) in regions of a homogeneous phantom.…”
Section: Introductionmentioning
confidence: 99%