Abstract #3344

Simultaneous Multi-Slice Double Diffusion Encoding Imaging

Grant Kaijuin Yang^1,2, Hua Wu³, Qiyuan Tian^1,2, Adam Kerr³, Robert Dougherty³, and Jennifer McNab²

¹Electrical Engineering, Stanford University, Stanford, CA, United States, ²Radiology, Stanford University, Stanford, CA, United States, ³Center for Cognitive and Neurobiological Imaging, Stanford University, CA, United States

Double diffusion encoding (DDE) sequences can measure microscopic diffusion anisotropy even in complex structures such as cortex or crossing fiber regions in white matter. However, DDE sequences require long TEs to accommodate the additional diffusion gradients, resulting in lower signal-to-noise ratio (SNR) and reduced slice coverage limiting its clinical feasibility. In this work, we implement a DDE sequence with simultaneous multi-slice (SMS) to improve the SNR efficiency and allow for full-brain DDE scans in a clinically feasible time.

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