On the Optimization of Parallel Imaging for Ghost Reduction: A Blood Flow Example

Feng Huang¹, Wei Lin¹, Yu Li¹, Arne Reykowski¹

A parallel imaging based technique, COnvolution and Combination OperAtion (COCOA), has been proposed recently to efficiently remove ghost artifacts due to non-rigid motion. COCOA has two steps: a convolution step for a synthetic k-space with redistributed error, and a combination step for the final reconstructed k-space with reduced error. In this work, by using blood flow artifact as an example, the optimization schemes for these two steps are introduced to improve the ability for ghost suppression.