Name
Title | ||
|---|---|---|
Estimation of three-dimensional cardiac velocity fields: assessment of a differential method and application to three-dimensional CT data |
Abstract | ||
|---|---|---|
We have investigated an optical flow method for the estimation of the three-dimensional endocardial wall motion from high-resolution X-ray CT data. This method was originally proposed by Song and Leahy. It is based on the optical flow, the divergence-free and the smoothness constraints. Due to the characteristics of the imaging modality, we studied the restriction of this approach to the boundary of the left ventricular (LV) cavity. The behaviour of the method is quantified through simulations approximating the overall motion of the LV cavity through an affine transform involving a dilation and a rotation. The method implies the choice of three parameters weighting the constraints. The results show a weak dependence of the velocity field on the weighting of the optical flow constraint. The accuracy of the method relies more heavily on the relative weighting of the smoothness and divergence-free constraints. In our experiments, the best results were obtained for a largely predominant divergence-free constraint. The results also show that the accuracy of the method is reasonable for low values of the rotation angle (minimum mean error of 1.1 voxel for 5°). This is compatible with values reported in other studies for the overall rotation of the LV. We provide a qualitative description of the results obtained in vivo on a canine heart by visualizing the distribution of the estimated velocity vector magnitudes over the endocardial surface. These results (evolution of the field over time, maximum velocities) are in agreement with the known physiological behaviour of the heart. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1016/S1361-8415(97)85013-X | Medical Image Analysis |
Keywords | Field | DocType |
3-D velocity field,cardiac motion,motion estimation,optical flow | Voxel,Affine transformation,Weighting,Mathematical analysis,Mean squared error,Artificial intelligence,Motion estimation,Geometry,Dilation (morphology),Pattern recognition,Vector field,Optical flow,Mathematics | Journal |
Volume | Issue | ISSN |
1 | 3 | 1361-8415 |
Citations | PageRank | References |
15 | 1.47 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Gorce | 1 | 468 | 56.54 |
| Denis Friboulet | 2 | 403 | 32.65 |
| Isabelle E. Magnin | 3 | 540 | 64.87 |