Abstract | ||
---|---|---|
Cone-beam computed tomography (CBCT) has been widely used in radiation therapy. For accurate patient setup and treatment target localization, it is important to obtain high-quality reconstruction images. The total variation (TV) penalty has shown the state-of-the-art performance in suppressing noise and preserving edges for statistical iterative image reconstruction, but it sometimes leads to the ... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TMI.2017.2766185 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image reconstruction,TV,Linear programming,Minimization,Three-dimensional displays,Image edge detection,Imaging | Iterative reconstruction,Mathematical optimization,Hessian matrix,Regular polygon,Minification,Computed tomography,Linear programming,Optimization problem,Mathematics | Journal |
Volume | Issue | ISSN |
36 | 12 | 0278-0062 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
5 |