A novel MRI data processing strategy for the reduction of abdomen motion artifacts
Yajun Ma 1 , Wentao Liu 1 , Yang Fan 1 , Huanjie Li 1 , and Jia-Hong Gao 1
MRI Research Center and Beijing City Key Lab
for Medical Physics and Engineering, Peking University,
Beijing, Beijing, China
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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