High resolution cardiac magnetic resonance imaging: A model-based approach
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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.
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2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society