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.
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