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Abstract #2552

Parallel-Computing Reconstruction for Parallel Encoding with Parallel Imaging

Ethan M. Johnson1, John M. Pauly1

1Electrical Engineering, Stanford University, Stanford, CA, United States

Recent innovation in MRI has tended to realise improvements to image quality or reduction of acquisition time by 'supplementing' the innate Fourier encoding of magnetic resonance imaging. This typically complexifies the data-image relationship, such that reconstruction can become computationally expensive. Within this class of innovations are techniques which attempt to 'parallelise' the acquisition, with multiple receiver coils and non-bijective encoding fields. In these cases, reconstruction computations naturally exhibit parallelism that can be exploited to reconstruct images very quickly.