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- W2080588536 abstract "This paper develops an FBP-MAP (Filtered Backprojection, Maximum a Posteriori) algorithm to reconstruct MRI images from under-sampled data. An objective function is first set up for the MRI reconstruction problem with a data fidelity term and a Bayesian term. The Bayesian term is a constraint in the temporal dimension. This objective function is minimized using the calculus of variations. The proposed algorithm is non-iterative. Undersampled dynamic myocardial perfusion MRI data were used to test the feasibility of the proposed technique. It is shown that the non-iterative Fourier reconstruction method effectively incorporates the temporal constraint and significantly reduces the angular aliasing artifacts caused by undersampling. A significant advantage of the proposed non-iterative Fourier technique over the iterative techniques is its fast computation time." @default.
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- W2080588536 date "2013-02-13" @default.
- W2080588536 modified "2023-09-26" @default.
- W2080588536 title "Non-iterative reconstruction with a prior for undersampled radial MRI data" @default.
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- W2080588536 doi "https://doi.org/10.1002/ima.22036" @default.
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