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Abstract #4171

Water Fat Identification for Symmetically Acquired Dixon Method on Non-Connected Body Regions

Cong Zhao1, Andrew Liang2

1Siemens ShenZhen Magnetic Resonance, ShenZhen, GuangDong, China; 2School of Engineering and Applied Science, University of Pennsylvania

The work provides a post-processing algorithm classifying water and fat images generated by symetically acquired 2D/3D dixon techniques. It is also extended to work on imaging with non-connected body parts.