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Abstract #0265

Quantification of Susceptibility-Induced Fat Resonance Shift On Chemical Shift-Based Water/Fat Separation of Skeletal Muscle

Dimitrios C. Karampinos1, Huanzhou Yu2, Ann Shimakawa2, Thomas M. Link1, Sharmila Majumdar1

1Department of Radiology & Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA; 2Global Applied Science Laboratory, GE Healthcare, Menlo Park, CA, USA

Quantitative chemical shift-based water/fat separation approaches rely on a precalibrated multi-peak fat spectrum. However, water-fat susceptibility differences can induce fat spectrum resonance shifts depending on the shape and orientation of the fatty inclusions. The effect is of particular interest in the skeletal muscle due to the anisotropic arrangement of extracellular lipids. In the present work, the effect of susceptibility-induced resonance shift on quantitative chemical shift-based water/fat separation approaches is characterized and a novel algorithm is proposed in order to quantify the resonance shift. The technique is validated in a phantom and preliminary in vivo results are shown in the calf muscle.