Name
Title | ||
|---|---|---|
MR imaging reconstruction using a modified descent-type alternating direction method. |
Abstract | ||
|---|---|---|
In the magnetic resonance imaging MRI field, total variation TV which is the ﾿1-norm of the gradient-magnitude images GMI is widely used as the regularization in the compressive sensing CS based reconstruction algorithm. Based on the classic augmented Lagrangian multiplier method, we propose a modified descent-type alternating direction method ADM for solving the TV regularized reconstruction problems in the following sense: an iteration result generated by the ADM is utilized to generate a descent direction; an appropriate step size along this descent direction is identified; and the penalty parameters are updated. The proposed algorithm effectively combines alternating direction technique with the descent-type method. Extensive results demonstrate that the proposed algorithm, is competitive with, and often outperforms, other state-of-the-art solvers in the field. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1002/ima.22156 | Int. J. Imaging Systems and Technology |
Keywords | Field | DocType |
alternating direction method, total variation, MRI, descent method, compressed sensing | Mr imaging,Computer vision,Mathematical optimization,Computer science,Multiplier method,Descent direction,Reconstruction algorithm,Regularization (mathematics),Augmented Lagrangian method,Artificial intelligence,Compressed sensing | Journal |
Volume | Issue | ISSN |
26 | 1 | 0899-9457 |
Citations | PageRank | References |
0 | 0.34 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao Chen | 1 | 156 | 61.18 |
| Jinxu Tao | 2 | 10 | 1.60 |
| yuli sun 孙玉立 | 3 | 7 | 6.26 |
| Bensheng Qiu | 4 | 11 | 6.59 |
| Zhongfu Ye | 5 | 379 | 49.33 |