Abstract
The utility of using a displacement field fitting approach to reconstruct 3D myocardial deformations from sets of parallel-tagged MR images has been demonstrated [1]. Our present goal is to implement the field fitting algorithm efficiently on real heart data. A cascade of fitting steps is used: a first order global cartesian fit, followed by an n-th order global prolate spheroidal fit, followed by a local prolate spheroidal fit around each pre-selected test point. Local deformation gradient and strain tensors are then computed by taking directional derivatives of the displacement field at each test point. On a normal human volunteer, the standard deviation of error of the fitting model to the raw tag point displacement data was approx.0.3mm. Projections of representative image slices following each stage in the cascade provide a graphical validation of the technique.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 551-552 |
| Number of pages | 2 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 16 |
| Issue number | pt 1 |
| State | Published - Dec 1 1994 |
| Event | Proceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2) - Baltimore, MD, USA Duration: Nov 3 1994 → Nov 6 1994 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics