Abstract
This paper presents a novel dynamic magnetic resonance imaging method using object modeling and estimation. This method models the object by a time-varying function, thus converting the dynamic imaging problem to a parameter identification problem. Experimental results demonstrate that this method is able to produce time-sequential images from a time-varying object with high temporal and spatial resolution, opening up many new applications for MR imaging, such as three-dimensional high-resolution cardiac imaging.
Original language | English (US) |
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Pages (from-to) | 459-460 |
Number of pages | 2 |
Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Volume | 17 |
Issue number | 1 |
State | Published - 1995 |
Event | Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) - Montreal, Can Duration: Sep 20 1995 → Sep 23 1995 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics