Name
Title | ||
|---|---|---|
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment. |
Abstract | ||
|---|---|---|
•We present a novel 4D (3D+t) reconstruction scheme from 2D slice-by-slice MR data.•2D MR data acquired at different slice positions lie on similar manifolds.•We use this fact to match respiratory positions of different slice positions.•The method outperforms 2 state-of-the art slice stacking reconstruction techniques.•Application of the method to motion correction of PET data is demonstrated. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.media.2014.05.010 | Medical Image Analysis |
Keywords | Field | DocType |
Respiratory motion correction,PET/MR motion correction,MR imaging of the thorax,Manifold learning,Manifold alignment | Mr imaging,Computer vision,Pencil (optics),Pattern recognition,Respiratory motion,Manifold alignment,Ground truth,Synthetic data,Artificial intelligence,Nonlinear dimensionality reduction,Mathematics,Manifold | Journal |
Volume | Issue | ISSN |
18 | 7 | 1361-8415 |
Citations | PageRank | References |
8 | 0.67 | 16 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian F. Baumgartner | 1 | 96 | 9.55 |
| Christoph Kolbitsch | 2 | 34 | 6.35 |
| Daniel R. Balfour | 3 | 12 | 3.29 |
| Paul K. Marsden | 4 | 8 | 0.67 |
| Jamie R. McClelland | 5 | 21 | 3.50 |
| Daniel Rueckert | 6 | 9338 | 637.58 |
| Andrew P. King | 7 | 483 | 59.98 |