Name
Title | ||
|---|---|---|
Negative binomial maximum likelihood expectation maximization (NB-MLEM) algorithm for reconstruction of pre-corrected PET data. |
Abstract | ||
|---|---|---|
•PET data reconstruction algorithm based on the Negative Binomial (NB) distribution is described.•It generalizes over the Poisson distribution in case of over-dispersion of raw data.•Mathematical derivation, simulation study and real data tests are described.•The NB-MLEM algorithm outperforms standard P-MLEM in terms of bias and noise. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compbiomed.2019.103481 | Computers in Biology and Medicine |
Keywords | Field | DocType |
PET,Image reconstruction,Pre-corrected PET data,Negative binomial,Maximum likelihood expectation maximization | Iterative reconstruction,Maximum likelihood expectation maximization,Computer science,Imaging phantom,Maximum likelihood,Raw data,Algorithm,Reconstruction algorithm,Negative binomial distribution,Poisson distribution | Journal |
Volume | ISSN | Citations |
115 | 0010-4825 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michele Scipioni | 1 | 0 | 2.03 |
| Maria Filomena Santarelli | 2 | 29 | 5.69 |
| Assuero Giorgetti | 3 | 0 | 0.68 |
| Vincenzo Positano | 4 | 42 | 8.53 |
| Luigi Landini | 5 | 67 | 12.52 |