Name
Abstract | ||
|---|---|---|
Current research investigating the modeling of left ventricular dynamics for accurate clinical assessment of cardiac function is extensive. Magnetic resonance (MR) tagging is a functional imaging method which allows for encoding of a grid of signal voids on cardiac MR images, providing a mechanism for noninvasive measurement of intramural tissue deformations, in vivo. We present a novel technique ... |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TBME.2003.814530 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Myocardium,Kinematics,Magnetic resonance imaging,Spline,Capacitive sensors,Surface fitting,Magnetic resonance,Tagging,Image coding,Noninvasive treatment | B-spline,Computer vision,Displacement field,Kinematics,Lagrangian,Computer science,Visualization,Artificial intelligence,Knot (unit),Encoding (memory),Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
50 | 8 | 0018-9294 |
Citations | PageRank | References |
11 | 0.84 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicholas J. Tustison | 1 | 1362 | 58.82 |
| Victor G. Dávila-Román | 2 | 11 | 0.84 |
| Amir A. Amini | 3 | 443 | 63.30 |