Name
Abstract | ||
|---|---|---|
A 4-D B-spline model has been created to accurately capture the dynamic motion of the heart from tagged magnetic resonance imaging (MRI) enabling displacement field reconstruction of myocardial deformation. The 4-D model is allowed to deform based on the location of the tag lines for all frames within the constraints of the model's spatio-temporal internal energy. From a displacement field, the corresponding long and short axis Lagrangian strain maps are produced. Motion fields from simulated data produced by a cardiac motion simulator are used to create corresponding strain images. In addition, strain images produced from porcine data with posterolateral myocardial in-farction are illustrated. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICPR.2002.1044860 | Pattern Recognition, 2002. Proceedings. 16th International Conference |
Keywords | Field | DocType |
biomedical MRI,cardiology,medical image processing,splines (mathematics),displacement field reconstruction,dynamic motion,heartfrom,long axis Lagrangian strain maps,myocardial deformation,short axis Lagrangian strain maps,spatiotemporal internal energy,tagged magnetic resonance imaging | Computer vision,Strain (chemistry),Displacement field,Lagrangian,Computer science,Strain imaging,Artificial intelligence,Deformation (mechanics),Cardiac motion,Magnetic resonance imaging | Conference |
Volume | ISSN | ISBN |
1 | 1051-4651 | 0-7695-1695-X |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicholas J. Tustison | 1 | 1362 | 58.82 |
| D. Abendschein | 2 | 55 | 6.03 |
| Victor G. Dávila-román | 3 | 51 | 4.97 |
| Amir A. Amini | 4 | 443 | 63.30 |