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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