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MODULATION RECOVERY AND IMAGE RECONSTRUCTION IN CARTESIAN PARALLEL MAGNETIC RESONANCE IMAGING: A STRUCTURAL STUDY BY PARAMETERIZATION

Parallel Magnetic Resonance Imaging allows to reduce image acquisition time by subsampling the data in k-space using an array of surface coils. The subsampling using surface coils results in modulated and aliased images which have to be post-treated to reconstruct the image. In this paper we perform a structural study for simultaneous recovery of the unknown coil sensitivities and reconstruction of the image by using parameterized sensitivities. We investigate the minimal requirements for the reconstruction of the image and provide qualitative results about the optimal placement of the coils with respect to the direction of folding due to the Cartesian subsampling.