5 September 2008 Exploiting image sparsity in parallel magnetic resonance imaging (pMRI)
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Abstract
A hybrid method is presented which allows the acceleration of parallel MR imaging through combining the ideas of compressed sensing with inversion of the imaging matrix. A novel data reordering is employed to enhance the sparsity inherent in the image transform. Simulation results with actual head scan data are presented.
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Bing Wu, R. P. Millane, Richard Watts, Philip J. Bones, "Exploiting image sparsity in parallel magnetic resonance imaging (pMRI)", Proc. SPIE 7076, Image Reconstruction from Incomplete Data V, 707603 (5 September 2008); doi: 10.1117/12.796820; https://doi.org/10.1117/12.796820
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