Compressed Sensing with Compressed Channels

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

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.