Reconstruction of sparsely-sampled dynamic MRI data using Iterative “Error Energy”[1] Reduction (original) (raw)

Abstract

A well-known reconstruction technique developed by Gerchberg, based on “error energy” reduction [1], is extended in this study to sparsely sampled dynamic cardiac magnetic resonance imaging (CMRI). A-priori knowledge of static and dynamic regions in the FOV is used to sample a subset of phase-encoding views on a regular Cartesian grid, allowing a reduction in overall imaging time. Similar to the direct-inversion Noquist method [2], the iterative reconstruction does not use either data-substitution or temporal interpolation. ...

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