Abstract
Three-dimensional imaging and quantification of myocardial function are essential steps in the evaluation of cardiac disease. We propose a tagged magnetic resonance imaging methodology called zHARP that encodes and automatically tracks myocardial displacement in three dimensions. Unlike other motion encoding techniques, zHARP encodes both in-plane and through-plane motion in a single image plane without affecting the acquisition speed. Postprocessing unravels this encoding in order to directly track the 3-D displacement of every point within the image plane throughout an entire image sequence. Experimental results include a phantom validation experiment, which compares zHARP to phase contrast imaging, and an in vivo study of a normal human volunteer. Results demonstrate that the simultaneous extraction of in-plane and through-plane displacements from tagged images is feasible.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 639-651 |
| Number of pages | 13 |
| Journal | Lecture Notes in Computer Science |
| Volume | 3565 |
| State | Published - Oct 17 2005 |
| Event | 19th International Conference on Information Processing in Medical Imaging, IPMI 2005 - Glenwood Springs, CO, United States Duration: Jul 10 2005 → Jul 15 2005 |
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
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