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Abstract #0106

RFuGE an Accelerated Imaging Method Combining Parallel Transmit RF Encoding Plus Gradient Encoding with Compressed Sensing Reconstruction

Muhammad Usman1, Shaihan J. Malik2, Ulrich Katscher3, Philip G. Batchelor1, Joseph V Hajnal2

1Imaging Sciences, King's College London, London, United Kingdom; 2Robert Steiner MRI Unit, Imaging Sciences Department, MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London, London, United Kingdom; 3Sector Medical Imaging Systems Philips Research Europe, Hamburg, Germany


We describe a combination of Parallel Transmit generated radiofrequency encoding and undersampled gradient encoding that can be reconstructed using compressed sensing to achieve accelerated imaging with a non-linear encoding basis. The method, RF plus Gradient Encoding, (RFuGE) has been tested in simulation and successful reconstructions were achieved.

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