Name
Title | ||
|---|---|---|
Theoretical study of penalized-likelihood image reconstruction for region of interest quantification. |
Abstract | ||
|---|---|---|
Region of interest (ROI) quantification is an important task in emission tomography (e.g., positron emission tomography and single photon emission computed tomography). It is essential for exploring clinical factors such as tumor activity, growth rate, and the efficacy of therapeutic interventions. Statistical image reconstruction methods based on the penalized maximum-likelihood (PML) or maximum ... |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/TMI.2006.873223 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image reconstruction,Positron emission tomography,Single photon emission computed tomography,Neoplasms,Maximum likelihood estimation,Signal to noise ratio,Filters,Cutoff frequency,Signal resolution,Performance analysis | Iterative reconstruction,Computer vision,Image quality,Tomography,Artificial intelligence,Covariance matrix,Maximum a posteriori estimation,Estimation theory,Region of interest,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
25 | 5 | 0278-0062 |
Citations | PageRank | References |
6 | 0.53 | 15 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinyi Qi | 1 | 284 | 35.82 |
| R H Huesman | 2 | 54 | 9.34 |