Paper
5 September 2008 Exploiting image sparsity in parallel magnetic resonance imaging (pMRI)
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bing Wu, R. P. Millane, Richard Watts, and 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); https://doi.org/10.1117/12.796820
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Cited by 1 scholarly publication.
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KEYWORDS
Fourier transforms

Image restoration

Magnetic resonance imaging

Computer programming

Compressed sensing

Receivers

Signal processing

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