Name
Title | ||
|---|---|---|
A spatially-distributed computational model to quantify behaviour of contrast agents in MR perfusion imaging. |
Abstract | ||
|---|---|---|
•A finite element model of myocardial MR perfusion imaging is proposed.•A parameter space study is performed for models of both healthy and diseased tissue.•Clinical metrics non-monotonic with respect to changes in extra-vascular diffusivity.•Signal upslope a more robust clinical metric than peak signal value. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.media.2014.07.002 | Medical Image Analysis |
Keywords | Field | DocType |
Magnetic resonance imaging,Myocardial perfusion,Contrast agent,Finite element method,Idealised modelling | Perfusion scanning,Nonlinear system,Biological system,Scalar (physics),Deconvolution,Péclet number,Artificial intelligence,Parameter space,Perfusion,Pattern recognition,Medical physics,Mathematics,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
18 | 7 | 1361-8415 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrew N Cookson | 1 | 8 | 1.66 |
| Jack Lee | 2 | 16 | 4.57 |
| Christian Michler | 3 | 38 | 4.33 |
| Radomir Chabiniok | 4 | 77 | 9.71 |
| Eoin R Hyde | 5 | 5 | 2.18 |
| David Nordsletten | 6 | 64 | 13.52 |
| N P Smith | 7 | 79 | 10.92 |