Abstract #4393

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

Yihao Guo^1,2, Zhe Liu^2,3, Yan Wen^2,3, Pascal Spincemaille², Honglei Zhang², Ramin Jafari², Shun Zhang², Sarah Eskreis-Winkler², Kelly M. Gillen², Yanqiu Feng¹, and Yi Wang^2,3

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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