… The resulting optimization problem can be implemented using any number of algorithms;
we use a Split-… We compared the WSURE-optimized reconstruction against the WMSE-optimal …

… method for MRI reconstruction, the computation of the split-bregman optimization problem
(10) follows from the iterative algorithm proposed in [18] and the algorithm proposed in [21] is …

… , direct reconstruction that doesn’t require the inverse operation also. Here, we consider only
“direct reconstruction” … Algorithm G describes the interpolative gridding algorithm in TRON. …

… -based methods, our algorithm is completely decoupled from a … MRI reconstruction, this means
that the proposed algorithm … To overcome this issue, we present an optimization approach …

… optimization, which limits its practical use in several MRI applications. In this paper, we propose
a novel optimization algorithm … speed of the BCS optimization. The splitting allows us to …

… This chapter reviews the key ideas behind modern MRI optimization. We discuss several …
These algorithms will be fundamental to understand the various reconstruction techniques …

… MRI reconstruction) involving complex-valued images. Our approach depends only on the
output of a given reconstruction algorithm … ] is a reasonable metric for optimizing for agreeable …

… pose a self-calibrating MRI reconstruction framework that … reconstructed using a nonlinear
iterative algorithm, which promotes sparsity in the wavelet domain. As regards the optimization …

… We offer a short overview of fetal brain MRI reconstruction techniques. … optimization techniques
could be successfully applied to design an efficient Total Variation optimization algorithm …

… tissue models frustrate the reconstruction algorithm, and degrade … , we desire an optimized
algorithm capable of recovering … In the next section we take steps toward such an optimization…