Abstract #5170

SPID Compressed Sensing for Parallel MRI: Flexible Sampling and Rapid Reconstruction

Efrat Shimron¹, Andrew G. Webb², and Haim Azhari¹

¹Biomedical Engineering Department, Technion - Israel Institute of Technology, Haifa, Israel, ²C.J. Gorter Center for High Field MRI Research, Department of Radiology, Leiden University, Leiden, TN, Netherlands

We introduce a new method combining Compressed Sensing (CS) and parallel MRI (pMRI) for fast MRI acquisition. The method, termed SPID-CS, is advantageous over existing methods since it (1) produces a high-quality initial reconstruction, (2) avoids aliasing related to sub-Nyquist sampling by joining information from different coils, (3) enables flexible k-space sampling, (4) converges much faster than conventional CS and (5) enables clinical real-time reconstruction due to its extremely short runtime.

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