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Non-local total bounded variation scheme for multiple-coil magnetic resonance image restoration
Ist Teil von
Multidimensional systems and signal processing, 2018-10, Vol.29 (4), p.1427-1448
Ort / Verlag
New York: Springer US
Erscheinungsjahr
2018
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
In this paper, we design a variational model for restoring multiple-coil magnetic resonance images (MRI) corrupted by non-central
Chi
distributed noise. The energy functional corresponding to the restoration problem is derived using the maximum a posteriori (MAP) estimator. Optimizing this functional yields the solution, which corresponds to the restored version of the image. The non-local total bounded variation prior is being used as the regularization term in the functional derived using the MAP estimation process. Further, the split-Bregman iteration scheme is being followed for fast numerical computation of the model. The results are compared with the state of the art MRI restoration models using visual representations and statistical measures.