Name
Title | ||
|---|---|---|
An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom |
Abstract | ||
|---|---|---|
•A validation framework for quantitative DCE-MRI is proposed based on a digital phantom.•The digital phantom contains vascular geometry, hemodynamics and pharmacokinetics.•The virtual simulator imports the digital phantom to generate realistic DCE-MRI.•Simulated images capture effects of acquisition and reconstruction on image quality.•The dynamic digital phantom is available as an open toolkit, R2D2. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.media.2021.102186 | Medical Image Analysis |
Keywords | DocType | Volume |
Computational fluid dynamics,Kidney,MRI simulator,Quantitative MRI,Pharmacokinetics,Hemodynamics | Journal | 73 |
ISSN | Citations | PageRank |
1361-8415 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chengyue Wu | 1 | 0 | 0.34 |
| David A Hormuth | 2 | 2 | 0.97 |
| Ty Easley | 3 | 0 | 0.34 |
| Victor Eijkhout | 4 | 0 | 0.34 |
| Federico Pineda | 5 | 2 | 0.97 |
| Gregory S Karczmar | 6 | 2 | 1.65 |
| Thomas E. Yankeelov | 7 | 20 | 7.14 |