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Abstract #3036

Simulating the dPFG and qMAS in a Model of Acute Axonal Injury

Matthew Budde 1 and Nathan Skinner 2

1 Neurosurgery, Medical College of Wisconsin, Milwaukee, Wisconsin, United States, 2 Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, United States

Diffusion tensor imaging has demonstrated a unique ability to detect nervous system injury with fractional anisotropy (FA), but it is limited by assumptions that can complicate and confound its sensitivity and interpretation. Novel diffusion weighted sequences, including the double pulsed field gradient (dPFG) and q-vector Magic Angle Spinning (qMAS) have reported to have high sensitivity to the microscopic effects of injury without the complicating effects of fiber configuration, or macroscopic anisotropy. Herein, we simulated these sequences in a model of acute axonal injury characterized by beaded axons to reveal the sensitivity to injury and ability to resolve microscopic injury.

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