Name
Abstract | ||
|---|---|---|
High-attenuation materials pose significant challenges to computed tomographic (CT) imaging. Formed of high mass-density and high atomic number elements, they cause more severe beam hardening and scattering artifacts than do waterlike materials. Pre-corrected line-integral density measurements are no longer linearly proportional to the path lengths, leading to reconstructed image suffering from streaking artifacts extending from metal, often along highest-density directions. In this paper, a novel prior-based iterative approach is proposed to reduce metal artifacts. It combines the superiority of statistical methods with the benefits of sinogram completion methods to estimate and correct metal-induced biases. Preliminary results show minimized residual artifacts and significantly improved image quality. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TMI.2018.2886701 | IEEE transactions on medical imaging |
Keywords | Field | DocType |
Metals,Image reconstruction,Photonics,X-ray imaging,Computed tomography,Solid modeling,Adaptation models | Iterative reconstruction,Residual,Metal Artifact,Computer vision,X-ray,Image quality,Scattering,Artificial intelligence,Solid modeling,Streaking,Mathematics | Journal |
Volume | Issue | ISSN |
38 | 6 | 1558-254X |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhiqian Chang | 1 | 1 | 0.35 |
| Dong Hye Ye | 2 | 450 | 24.29 |
| somesh srivastava | 3 | 1 | 0.69 |
| Jean-Baptiste Thibault | 4 | 40 | 6.78 |
| Ken D. Sauer | 5 | 576 | 90.54 |
| Charles A. Bouman | 6 | 2740 | 473.62 |