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Abstract #2864

CS-SENSE Reconstruction using a Two-Level Variable Density Sampling Pattern

Mariya Doneva1,2, Peter Brnert1, Alfred Mertins2

1Philips Research Europe, Hamburg, Germany; 2University of Luebeck, Luebeck, Germany

The synthesis of CS and parallel imaging is of consierable interest. Several works have proposed a combination of SENSE and CS as an iterative sparsity constrained SENSE reconstruction. Typically a variable density pseudo-random sampling is used as a compromise between regular and irregular sampling. Based on the properties of CS and SENSE, we propose a two-step CS-SENSE reconstruction, in which the two reconstruction steps are used to recover distinct parts of k-space and apply a two-level variable density sampling pattern.