Name
Title | ||
|---|---|---|
Sparse deformation prediction using Markove Decision Processes (MDP) for Non-rigid registration of MR image. |
Abstract | ||
|---|---|---|
•Based on the training image set, a rapid and accurate non-rigid registration is proposed.•The proposed method combines the constructions of Minimum Spanning Tree (MST) and Markove Decision Processes (MDP) at patch scale to provide a suitable initial deformation for the registration from test to template images.•MST provides the registration paths which decomposes the large-deformation registration between the test and the template images into multiple fast registrations with small deformations.•MDP selects the optimal registration path which achieves the most accurate registration.•The proposed method rapidly registers the inter-subject brains and achieves the high mean Dice for the different tissues of the brain. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.cmpb.2018.04.024 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
Deformation prediction,Markove decision processes,Patch-wise registration,MR image | Computer vision,Linkage (mechanical),Computer science,Interpolation,Image scale,Artificial intelligence,Deformation (mechanics),Decision process,Dice,Standard test image,Computation | Journal |
Volume | ISSN | Citations |
162 | 0169-2607 | 0 |
PageRank | References | Authors |
0.34 | 22 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tianyu Fu | 1 | 0 | 3.04 |
| qin li | 2 | 0 | 1.69 |
| Jianjun Zhu | 3 | 5 | 3.10 |
| Danni Ai | 4 | 45 | 14.78 |
| yong huang | 5 | 7 | 5.23 |
| Hong Song | 6 | 8 | 8.34 |
| Yurong Jiang | 7 | 126 | 11.36 |
| Yongtian Wang | 8 | 456 | 73.00 |
| Jian Yang | 9 | 283 | 48.62 |