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Abstract #1606

Improving High-Resolution Q-Ball Imaging with a Head Insert Gradient: Bootstrap and SNR Analysis

Julien Cohen-Adad1,2, Jennifer A. McNab1,2, Thomas Benner1,2, Maxime Descoteaux3, Azma Mareyam1, Van J. Wedeen1,2, Lawrence L. Wald1,2

1A. A. Martinos Center for Biomedical Imaging, Dept. of Radiology, MGH, Charlestown, MA, United States; 2Harvard Medical School, Boston, MA, United States; 3MOIVRE Centre, Department of Computer Science, Universit de Sherbrooke, Sherbrooke, QC, Canada

Head-insert gradients are particularly suitable for diffusion-weighted (DW) imaging due to a higher maximum strength, higher switching rate and higher duty cycle. In this paper we evaluate the performance of a head-insert combined with 32ch coil at 3T compared to conventional body gradients, for high spatial and angular resolution diffusion-weighted imaging. Bootstrap-based metrics demonstrate higher reproducibility of the Q-Ball estimate and lower uncertainty on the extracted maxima of the diffusion orientation distribution function.