Abstract
This article presents a model-based method for dynamic magnetic resonance imaging. This method models the time variation of an object by a generalized harmonic model, thus converting the dynamic imaging problem to a parameter identification problem. Experimental results are shown to demonstrate that this method is able to produce high-resolution time-sequential images from a dynamic object with periodic or quasi-periodic time variations.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 551-557 |
| Number of pages | 7 |
| Journal | International Journal of Imaging Systems and Technology |
| Volume | 8 |
| Issue number | 6 |
| DOIs | |
| State | Published - 1997 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Software
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering