Name
Title | ||
|---|---|---|
Penalized likelihood PET image reconstruction using patch-based edge-preserving regularization. |
Abstract | ||
|---|---|---|
Iterative image reconstruction for positron emission tomography (PET) can improve image quality by using spatial regularization that penalizes image intensity difference between neighboring pixels. The most commonly used quadratic penalty often oversmoothes edges and fine features in reconstructed images. Nonquadratic penalties can preserve edges but often introduce piece-wise constant blocky arti... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TMI.2012.2211378 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image reconstruction,Image edge detection,Optimization,Positron emission tomography,Noise measurement,Convergence,Robustness | Image fusion,Image quality,Regularization (mathematics),Artificial intelligence,Iterative reconstruction,Computer vision,Mathematical optimization,Pattern recognition,Smoothing,Image resolution,Mathematics,Penalty method,Regularization perspectives on support vector machines | Journal |
Volume | Issue | ISSN |
31 | 12 | 0278-0062 |
Citations | PageRank | References |
7 | 0.47 | 14 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guobao Wang | 1 | 86 | 12.68 |
| Jinyi Qi | 2 | 284 | 35.82 |