Name
Title | ||
|---|---|---|
Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction |
Abstract | ||
|---|---|---|
X-ray detectors in clinical computed tomography (CT) usually operate in current-integrating mode. Their complicated signal statistics often lead to intractable likelihood functions for practical use in model-based image reconstruction (MBIR). It is therefore desirable to design simplified statistical models without losing the essential factors. Depending on whether the CT transmission data are log... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TMI.2016.2627004 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Computed tomography,Image reconstruction,Computational modeling,X-ray imaging,Data models,Photonics,Detectors | Iterative reconstruction,Data modeling,Computer vision,Signal statistics,Image quality,Computed tomography,Artificial intelligence,Statistical model,Mathematics | Journal |
Volume | Issue | ISSN |
36 | 3 | 0278-0062 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Fu | 1 | 2 | 1.07 |
| Tzu-Cheng Lee | 2 | 1 | 0.36 |
| Soo Mee Kim | 3 | 1 | 0.69 |
| Adam M. Alessio | 4 | 33 | 7.95 |
| Paul E. Kinahan | 5 | 104 | 19.98 |
| Zhiqian Chang | 6 | 2 | 1.10 |
| Ken D. Sauer | 7 | 576 | 90.54 |
| Mannudeep Kalra | 8 | 144 | 14.28 |
| Bruno De Man | 9 | 63 | 8.41 |