Name
Abstract | ||
|---|---|---|
Objective: Dual-energy CT (DECT) strengthens the material characterization and quantification due to its capability of material discrimination. The image-domain multi-material decomposition (MMD) via matrix inversion suffers from serious degradation of the signal-to-noise ratios (SNRs) of the decomposed images, and thus the clinical application of DECT is limited. In this paper, we propose a noise... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TBME.2019.2916907 | IEEE Transactions on Biomedical Engineering |
Keywords | DocType | Volume |
Computed tomography,Noise reduction,Matrix decomposition,X-ray imaging,Signal to noise ratio,Biomedical measurement,Phantoms | Journal | 67 |
Issue | ISSN | Citations |
2 | 0018-9294 | 0 |
PageRank | References | Authors |
0.34 | 0 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yangkang Jiang | 1 | 0 | 1.35 |
| Yi Xue | 2 | 0 | 1.01 |
| Qihui Lyu | 3 | 0 | 1.01 |
| Lei Xu | 4 | 0 | 0.34 |
| Chen Luo | 5 | 13 | 4.92 |
| Pengfei Yang | 6 | 0 | 0.68 |
| Chunlin Yang | 7 | 0 | 0.34 |
| Jing Wang | 8 | 1 | 0.71 |
| Xi Hu | 9 | 0 | 0.34 |
| Xiaoqun Zhang | 10 | 684 | 29.21 |
| Ke Sheng | 11 | 2 | 2.73 |
| Tianye Niu | 12 | 3 | 2.87 |