Name
Abstract | ||
|---|---|---|
Motion estimation is an important issue in radiation therapy of moving organs. In particular, motion estimates from 4-D imaging can be used to compute the distribution of an absorbed dose during the therapeutic irradiation. We propose a strategy and criteria incorporating spatiotemporal information to evaluate the accuracy of model-based methods capturing breathing motion from 4-D CT images. This ... |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TMI.2007.901006 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Motion estimation,Computed tomography,Spatiotemporal phenomena,Thorax,Medical treatment,Lungs,Target tracking,Cancer,Biomedical applications of radiation,Distributed computing | Computer vision,Respiratory motion,A priori and a posteriori,Respiratory cycle,Artificial intelligence,Breathing,Motion estimation,Landmark,Image registration,Trajectory,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 12 | 0278-0062 |
Citations | PageRank | References |
18 | 1.70 | 18 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Sarrut | 1 | 182 | 14.93 |
| Bertrand Delhay | 2 | 27 | 3.85 |
| Pierre-Frederic Villard | 3 | 37 | 5.18 |
| Vlad Boldea | 4 | 31 | 3.31 |
| Michael Beuve | 5 | 25 | 5.32 |
| Patrick Clarysse | 6 | 452 | 54.82 |