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Abstract #1886

Acceleration Strategy for Navigated Diffusion Imaging

Bruno Madore1, Jr-Yuan Chiou1, Renxin Chu1, Tzu-Cheng Chao2, Stephan E. Maier1

1Department of Radiology, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States; 2Department of Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Taiwan

A fast-imaging strategy is presented, to accelerate data acquisition in segmented MR diffusion imaging. Navigator echoes are typically employed to correct for motion effects in multi-shot diffusion imaging. A spatially-smooth representation of the object is obtained from a small region around k-space center, and only phase information is used for motion correction. On the other hand, in the field of accelerated MRI, spatially-smooth signal is often called prior knowledge, and only magnitude information in an x-y-frequency space is used for regularization purposes. The proposed approach fully exploits the available navigator signal, phase and magnitude, toward accelerated motion-corrected diffusion imaging.