Abstract
This paper presents a model-based method for dynamic cardiac magnetic resonance (MR) imaging. This method represents temporal variations of MR signals from the beating heart by a temporal generalized series, which enables sparse sampling of the (k, t)-space. Various issues related to basis selection and parameter estimation are discussed. Experimental and simulation results are also presented to show that the proposed method can obtain high-resolution time-sequential images from a time-varying object with periodic or aperiodic cyclic signal variations.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2268-2271 |
| Number of pages | 4 |
| Journal | Annual Reports of the Research Reactor Institute, Kyoto University |
| Volume | 3 |
| State | Published - 2001 |
| Event | 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey Duration: Oct 25 2001 → Oct 28 2001 |
Keywords
- Dynamic MRI
- Dynamic time warping
- Principal component analysis
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Mechanical Engineering
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