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Abstract #4393

Spine Quantitative Susceptibility Mapping Using In-Phase Echoes to Initialize the Nonconvex Optimization Problem of Fat-Water Separation (R2*-IDEAL)

Yihao Guo1,2, Zhe Liu2,3, Yan Wen2,3, Pascal Spincemaille2, Honglei Zhang2, Ramin Jafari2, Shun Zhang2, Sarah Eskreis-Winkler2, Kelly M. Gillen2, Yanqiu Feng1, and Yi Wang2,3

1Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 2Department of Radiology, Weill Medical College of Cornell University, New York, NY, United States, 3Department of Biomedical Engineering, Cornell University, Ithaca, NY, United States

This work aims to investigate the initializations of R2* and field maps in R2*-IDRAL for developing a robust quantitative susceptibility mapping (QSM) in the spine. A 3D multi-echo GRE sequence was implemented to acquire out-phase and in-phase (IP) echoes in 10 subjects. The R2* and background field maps estimated by fitting the magnitude and phase of IP echoes were used to initialize R2*-IDEAL to obtain final R2*, field, water, and fat maps. The final field map was further processed to generate QSM. The results demonstrated that IP initializations of R2* and field in R2*-IDEAL provide robust QSM of the spine.

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