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High resolution cardiac magnetic resonance imaging: a model-based approach

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2 Author(s)
Jim Ji ; Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA ; Zhi-Pei Liang

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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Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE  (Volume:3 )

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