Name
Abstract | ||
|---|---|---|
Respiratory motion is one of the main sources of motion artifacts in positron emission tomography (PET) imaging. The emission image and patient motion can be estimated simultaneously from respiratory gated data through a joint estimation framework. However, conventional motion estimation methods based on registration of a pair of images are sensitive to noise. The goal of this study is to develop ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TMI.2021.3136553 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Logic gates,Estimation,Motion estimation,Strain,Positron emission tomography,Image reconstruction,Optimization | Journal | 41 |
Issue | ISSN | Citations |
5 | 0278-0062 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiantian Li | 1 | 14 | 6.76 |
| Mengxi Zhang | 2 | 0 | 0.34 |
| Wenyuan Qi | 3 | 0 | 0.34 |
| Evren Asma | 4 | 72 | 8.01 |
| Jinyi Qi | 5 | 284 | 35.82 |