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Abstract #4352

Acceleration of diffusion ADC mapping with phase-corrected SUPER

Xin Tang1, Jun Xie2, Guobin Li2, Meng Jiang3, and Chenxi Hu4
1Department of Medical Information Engineering, Wuyuzhang honors college, Sichuan University, Chengdu, China, 2United Imaging Healthcare Co., Ltd, Shanghai, China, 3Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China, 4Institute of Medical Imaging Technology, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

A novel method was proposed to accelerate apparent-diffusion-coefficient(ADC) mapping to shorten the EPI echo-train and/or improve resolution. The method was based on SUPER--a Cartesian k-space undersampling strategy for parametric mapping acceleration—and adapted to account for the nonlinear phase variation in diffusion-weighted imaging at different b-values. In healthy subjects, the phase-corrected SUPER(R=2) and SUPER-SENSE(combining SUPER and parallel imaging, R=4) demonstrated similar image quality, reasonable noise amplification, and similar reconstruction time compared with the non-acceleration gold standard, despite a 2-fold and 4-fold reduction of reconstruction data. This suggests that SUPER is a practical and accurate approach for accelerating ADC mapping.

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