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Abstract #2859

Compressed Sensing with Compressed Channels

Feng Huang1, Wei Lin1, George Randy Duensing1, Arne Reykowski1

1Invivo Corporation, Gainesville, FL, United States

In MRI, imaging using receiving coil arrays with a large number of elements is an area of growing interest. With increasing channel numbers, longer reconstruction times have become a significant concern. Channel compression has been proposed to reduce the processing time. However, channel compression technique has to balance speed and preservation of signal. In this work, a novel technique using relative sensitivity maps is proposed for faster channel-by-channel compressed sensing. The proposed method is much faster than conventional channel compression technique, and preserves the signal significantly better.