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Compressed Sensing (CS), as a new framework for data acquisition and signal recovery, has been applied to accelerate conventional magnetic resonance imaging (MRI) with Fourier encoding. However, Fourier encoding is not universal and weakly spreads out the energy of most natural images. This limits the achievable reduction factors. In this paper, we propose a Toeplitz random encoding method that is...
This paper presents a model-based dynamic MRI method with time-sequential sampling in k-t space using phased array coils, The temporal variation of the dynamic object is modeled as a superposition of motion elements while the spatial variation is captured by the series coefficients, thereby converting the dynamic imaging problem to a parameter identification problem. Parallel data acquisition using...
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