Matlab toolbox for parallel MRI data reconstruction with the Majorize-Minimize Memory Gradient Algorithm. This Matlab toolbox allows to solve the complex-valued image reconstruction problem arising in Parallel Magnetic Resonance Imaging (pMRI). The considered criterion is composed with a least square function as data fidelity term, and a regularization term favorizing the sparsity of the details coefficients of an orthogonal wavelet decomposition of the image. The reconstruction process uses the Majorize-Minimize Memory Gradient Algorithm described here: http://www.sciencedirect.com/science/article/pii/S0165168413003915
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References in zbMATH (referenced in 2 articles )
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- Bonettini, Silvia; Porta, Federica; Ruggiero, Valeria; Zanni, Luca: Variable metric techniques for forward-backward methods in imaging (2021)
- Bonettini, S.; Loris, I.; Porta, F.; Prato, M.; Rebegoldi, S.: On the convergence of a linesearch based proximal-gradient method for nonconvex optimization (2017)