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- W2009673012 abstract "Parallel MRI is a way to use multiple receiver coils with distinct spatial sensitivities to increase the speed of the MRI acquisition. The acquisition is speeded up by undersampling in the phase-encoding direction and the resulting data loss and aliasing is compensated for by the use of the additional information obtained from several receiver coils. The task is to reconstruct an unaliased image from a series of aliased images. We have proposed an algorithm called PROBER that takes advantage of the smoothness of the reconstruction transformation in space. B-spline functions are used to approximate the reconstruction transformation. Their coefficients are estimated at once minimizing the total expected reconstruction error. This makes the reconstruction less sensitive to noise in the reference images and areas without signal in the image. We show that this approach outperforms the SENSE and GRAPPA reconstruction methods for certain coil configurations. In this article, we propose another improvement, consisting of a continuous representation of the B-splines to evaluate the error instead of the discretely sampled version. This solves the undersampling issues in the discrete B-spline representation and offers higher reconstruction quality which has been confirmed by experiments. The method is compared with the discrete version of PROBER and with commercially used algorithms GRAPPA and SENSE in terms of artifact suppression and reconstruction SNR." @default.
- W2009673012 created "2016-06-24" @default.
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- W2009673012 date "2007-03-08" @default.
- W2009673012 modified "2023-09-23" @default.
- W2009673012 title "Continuous criterion for parallel MRI reconstruction using B-spline approximation (PROBER)" @default.
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- W2009673012 doi "https://doi.org/10.1117/12.708150" @default.
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