Abstract #3309
Multi-channel data combination with linear phase baseline correction
Saifeng Liu 1 , Yongquan Ye 2 , Sagar Buch 3 , and E. Mark Haacke 1,2
1
The MRI Institute for Biomedical Research,
Waterloo, Ontario, Canada,
2
Department
of Radiology, Wayne State University, Detroit, Michigan,
United States,
3
School of Biomedical
Engineering, McMaster University, Hamilton, Ontario,
Canada
When GRAPPA is used for parallel imaging, magnitude and
phase images will be reconstructed for each channel of
the array coil before being combined for the final
images. Simple weighted averaging of the complex data
may lead to a particular singularity artifact in phase
images, attributed to the variation in the baseline
phase components (φ0) between different channels. In
this study, we propose an algorithm in which the coil
sensitivity induced phase component is modelled as 3D
linear function, and can be corrected effectively in
k-space domain.
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