Name
Abstract | ||
|---|---|---|
Accurate sorting of beam projections is important in 4D cone beam computed tomography (4D CBCT) to improve the quality of the reconstructed 4D CBCT image by removing motion-induced artifacts. We propose image registration-based projection binning (IRPB), a novel marker-less binning method for 4D CBCT projections, which combines intensity-based feature point detection and trajectory tracking using ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TMI.2017.2690260 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Feature extraction,Image reconstruction,Tracking,Image registration,Trajectory,Tumors,Computed tomography | Iterative reconstruction,Absolute phase,Computer vision,Lift (force),Mathematical optimization,Cone beam computed tomography,Imaging phantom,Fourier transform,Feature extraction,Artificial intelligence,Mathematics,Image registration | Journal |
Volume | Issue | ISSN |
36 | 8 | 0278-0062 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seonyeong Park | 1 | 0 | 0.34 |
| Siyong Kim | 2 | 0 | 0.68 |
| Byongyong Yi | 3 | 0 | 0.34 |
| Geoffrey D Hugo | 4 | 4 | 1.38 |
| h michael gach | 5 | 1 | 1.73 |
| Yuichi Motai | 6 | 230 | 24.68 |