Name
Title | ||
|---|---|---|
Bayesian hemodynamic parameter estimation by bolus tracking perfusion weighted imaging. |
Abstract | ||
|---|---|---|
A delay-insensitive probabilistic method for estimating hemodynamic parameters, delays, theoretical residue functions, and concentration time curves by computed tomography (CT) and magnetic resonance (MR) perfusion weighted imaging is presented. Only a mild stationarity hypothesis is made beyond the standard perfusion model. New microvascular parameters with simple hemodynamic interpretation are n... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TMI.2012.2189890 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Deconvolution,Computed tomography,Delay,Phantoms,Joints,Hemodynamics,Dispersion | Nuclear medicine,Deconvolution,Artificial intelligence,Overfitting,Estimation theory,Singular value decomposition,Computer vision,Bolus tracking,Linearity,Algorithm,Mathematics,Observational error,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
31 | 7 | 0278-0062 |
Citations | PageRank | References |
3 | 0.44 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Timothé Boutelier | 1 | 6 | 1.95 |
| Koshuke Kudo | 2 | 3 | 0.44 |
| Fabrice Pautot | 3 | 3 | 0.44 |
| Makoto Sasaki | 4 | 12 | 3.87 |