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Abstract #1365

Performance of Chemical Shift-Based Wate-Fat Separation with Self-Calibrated Fat Spectrum Is Sensitive to Echo Times

Xinwei Shi1, Haining Liu1, Chun Yuan1, 2, Hua Guo1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China; 2Department of Radiology, University of Washington , Seattle, WA, United States

IDEAL (Iterative decomposition of water and fat with echo asymmetry and least-squares estimation) algorithm incorporating with multi-peak fat spectral modeling can provide complete water-fat separation, and thus is an effective way for fat quantification or fat suppression. Since the fat spectra vary in different tissue, a self-calibration method is needed to accurately measure the fat frequency model in the interested region. In this work, we analyze the performance of multi-peak IDEAL algorithm with self-calibrated fat spectrum by simulation, phantom and in vivo experiments and find optimized echo time increments which provide reliable water-fat separation.