Name
Abstract | ||
|---|---|---|
Dual-energy (DE) X-ray computed tomography (CT) has been found useful in various applications. In medical imaging, one promising application is using low-dose DECT for attenuation correction in positron emission tomography (PET). Existing approaches to sinogram material decomposition ignore noise characteristics and are based on logarithmic transforms, producing noisy component sinogram estimates ... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TMI.2009.2018283 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Positron emission tomography,Attenuation,Computed tomography,X-ray imaging,Image segmentation,Image restoration,Biomedical imaging,Biological materials,Bones,Least squares approximation | Nuclear medicine,Medical imaging,Artificial intelligence,Positron emission tomography,For Attenuation Correction,Image restoration,Correction for attenuation,Iterative reconstruction,Computer vision,Algorithm,Statistical model,Attenuation,Mathematics | Journal |
Volume | Issue | ISSN |
28 | 11 | 0278-0062 |
Citations | PageRank | References |
9 | 0.72 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joonki Noh | 1 | 20 | 2.90 |
| J. A. Fessler | 2 | 1743 | 229.34 |
| Paul E. Kinahan | 3 | 104 | 19.98 |