A novel MRI data processing strategy for the reduction of abdomen motion artifacts

Date processing techniques such as multiple average methods and COCOA have been developed recently for motion artifacts reducing. They employed convolution of k-space data to reduce localized data inconsistencies. These data processing techniques can be incorporated with other techniques, such as respiratory gating, navigator echoes.And then, better image quality is obtained. And they can also be used alone for free breath imaging. A new data processing strategy is introduced in this work to optimize the date convolution procedure and take care of different motion characters exist in multi-coil images to protect the image SNR.

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