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Iterative reconstruction of magnetic resonance images from arbitrary samples in k-space

par Desplanques, Bart;Cornelis, Jan ;Achten, Eric;Van de Walle, Rik;Lemahieu, Ignace
Référence IEEE transactions on nuclear science, 49 I, 5, page (2268-2273)
Publication Publié, 2002-10

Article révisé par les pairs

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Résumé :

In magnetic resonance (MR), imaging methods that use a non-Cartesian (e.g., spiral) sampling grid in k-space are becoming increasingly important. Reconstruction is then usually performed by resampling the data on a Cartesian grid, followed by fast Fourier transform (gridding). In gridding, the weighting of the data to compensate for the varying density of the sampling scheme can lead to a degradation of image quality. An iterative approach that avoids this problem is proposed. The two methods were compared using spiral k-space trajectories. Simulations were performed and showed better image quality and higher signal-to-noise ratio in comparison to gridding based reconstruction.