Parallel MRI Reconstruction by Direct Convex Optimization
Cishen Zhang 1 and Ifat-Al Baqee 1
Swinburne University of Technology,
Hawthorn, Victoria, Australia
The proposed direct convex optimization approach to
parallel magnetic resonance imaging (pMRI) is to provide
a computational algorithm for efficient processing of
undersampled k-space data and accurate reconstruction of
magnetic resonance images. It is based on an analysis
that the magnitude image to be solved is contained in a
convex hull in the solution space of the image function
and the sensitivity encoded image functions. This
analysis enables a novel formulation of the pMRI
reconstruction problem into direct convex optimization.
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