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.
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Liang et al. (1997) studied this question.