Name
Abstract | ||
|---|---|---|
In this paper, a newly developed statistical model-based image reconstruction [referred to as Simultaneous Multiple Artifacts Reduction in Tomographic RECONstruction (SMART-RECON)] is applied to low dose computer tomography (CT) myocardial perfusion imaging (CT-MPI). This method uses the nuclear norm of the spatial-temporal image matrix of the CT-MPI images as a regularizer, rather than a conventi... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TMI.2017.2747521 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image reconstruction,Computed tomography,Myocardium,Photonics,Physics,Electron tubes | Noise reduction,Iterative reconstruction,Computer vision,Tomographic reconstruction,Radiation dose,Tomography,Statistical model,Artificial intelligence,Myocardial perfusion imaging,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
36 | 12 | 0278-0062 |
Citations | PageRank | References |
1 | 0.35 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yinsheng Li | 1 | 2 | 2.06 |
| Michael A. Speidel | 2 | 11 | 3.99 |
| Christopher J Francois | 3 | 1 | 0.35 |
| Guang-Hong Chen | 4 | 15 | 2.88 |