Name
Title | ||
|---|---|---|
Direct Patlak Reconstruction From Dynamic PET Data Using the Kernel Method With MRI Information Based on Structural Similarity. |
Abstract | ||
|---|---|---|
Positron emission tomography (PET) is a functional imaging modality widely used in oncology, cardiology, and neuroscience. It is highly sensitive, but suffers from relatively poor spatial resolution, as compared with anatomical imaging modalities, such as magnetic resonance imaging (MRI). With the recent development of combined PET/MR systems, we can improve the PET image quality by incorporating ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMI.2017.2776324 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Kernel,Image reconstruction,Positron emission tomography,Feature extraction,Image quality | Iterative reconstruction,Computer vision,Medical imaging,Image quality,Feature extraction,Artificial intelligence,Positron emission tomography,Kernel method,Image resolution,Mathematics,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
37 | 4 | 0278-0062 |
Citations | PageRank | References |
3 | 0.49 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kuang Gong | 1 | 23 | 5.10 |
| Jinxiu Cheng-Liao | 2 | 3 | 0.82 |
| Guobao Wang | 3 | 86 | 12.68 |
| Kevin T. Chen | 4 | 3 | 0.82 |
| Ciprian Catana | 5 | 21 | 2.75 |
| Jinyi Qi | 6 | 284 | 35.82 |