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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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