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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here