Name
Abstract | ||
|---|---|---|
Tomographic image reconstruction for low-dose computed tomography (CT) is increasingly challenging as dose continues to reduce in clinical applications. Pre-log domain methods and post-log domain methods have been proposed individually and each method has its own disadvantage. While having the potential to improve image quality for low-dose data by using an accurate imaging model, pre-log domain m... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TMI.2017.2751679 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Computed tomography,Image reconstruction,Computational modeling,Data models,Noise measurement,Convergence | Iterative reconstruction,Least squares,Computer vision,Data modeling,Mathematical optimization,Likelihood function,Data transformation (statistics),Iterative method,Imaging phantom,Image quality,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
36 | 12 | 0278-0062 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guobao Wang | 1 | 86 | 12.68 |
| Jian Zhou | 2 | 4 | 1.84 |
| Zhou Yu | 3 | 278 | 39.88 |
| Wenli Wang | 4 | 0 | 0.34 |
| Jinyi Qi | 5 | 284 | 35.82 |