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Abstract #0189

Hadamard Slice-Encoding for Reduced-FOV Single-Shot Diffusion-Weighted EPI

Emine Ulku Saritas1, Daeho Lee1, Ajit Shankaranarayanan2, Dwight G. Nishimura1

1Department of Electrical Engineering, Stanford University, Stanford, CA, United States; 2Applied Science Laboratory, GE Healthcare, Menlo Park, CA, United States

High in-plane resolution and the ability to acquire a large number of slices are essential for diffusion-weighted imaging (DWI) of small structures, such as the spinal cord. Recently, a reduced-FOV method that uses 2D echo-planar RF excitation pulses to achieve high in-plane resolution was proposed. In this work, we present a Hadamard slice-encoding scheme to double the number of slices without any SNR or time penalty, with significant improvements to increase the SNR efficiency and reduce the inter-slice crosstalk. We validate our results with in vivo high-resolution axial DWI of the spinal cord.