Parallel Imaging for Efficient Spike Noise Detection and Correction

Feng Huang¹, Wei Lin¹, Yu Li¹, Arne Reykowski¹

Spike noise is a term used to describe broadband electrical interference in an MRI system. The result of spike noise can be seen in k-space as a bright dot, which will translate into some type of striping in the final image. Usually, the scan has to be repeated if random spike occurs. A parallel imaging based method, COnvolution and Combination OperAtion (COCOA), has been proposed for non-rigid motion compensation. In this work, it is shown that COCOA can be used to robustly detect and correct random spikes in an efficient way. Hence repeated scan can be avoided.