Published 1996
| Version v1
Book
Maximum likelihood reconstruction in fully 3D PET via the SAGE algorithm
Description
The SAGE and ordered subsets algorithms have been proposed as fast methods to compute penalized maximum likelihood estimates in PET. We have implemented both for use in fully 3D PET and completed a preliminary evaluation. The technique used to compute the transition matrix is fully described. The evaluation suggests that the ordered subsets algorithm converges much faster than SAGE, but that it stops short of the optimal solution
Additional details
Publishing Information
- Publisher
- IEEE Service Center.
- Imprint Place
- Piscataway, NJ (United States)
- Imprint Title
- 1996 IEEE nuclear science symposium - conference record. Volumes 1, 2 and 3
- Imprint Pagination
- 2138 p.
- Journal Page Range
- p. 1594-1598.
Conference
- Title
- Institute of Electrical and Electronic Engineers (IEEE) nuclear science symposium and medical imaging conference.
- Dates
- 2-9 Nov 1996.
- Place
- Anaheim, CA (United States).
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 28068029
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; IMAGE PROCESSING; MAXIMUM-LIKELIHOOD FIT; POSITRON COMPUTED TOMOGRAPHY; THREE-DIMENSIONAL CALCULATIONS
- Descriptors DEC
- COMPUTERIZED TOMOGRAPHY; EMISSION COMPUTED TOMOGRAPHY; NUMERICAL SOLUTION; TOMOGRAPHY
Optional Information
- Contract/Grant/Project number
- Grant 1380; Grant CA54959
- Secondary number(s)
- CONF-961123--.