Abstract #2777
Low-Pass Filter Effect of Finite Gradient Duration on Time-Dependent Diffusion in the Human Brain
Hong-Hsi Lee 1 , Lauren M. Burcaw 1 , Jelle Veraart 1 , Els Fieremans 1 , and Dmitry S. Novikov 1
1
Center for Biomedical Imaging, NYU Langone
Medical Center, New York, New York, United States
Time dependence of the diffusion coefficient, D(t),
reflects tissue complexity on a μm scale. Here we show
that this information can be recovered even when the
duration δ of diffusion gradient pulses is not
infinitely narrow, and design the framework to extract
these parameters from a realistic clinically measured
D(t, δ). Technically, D(t, δ) can be viewed as the
low-pass filtered ideal D(t). We apply this framework
to human brain DTI measurements along white matter
tracts, and find that the predicted δ-dependence agrees
with experiment without any adjustable parameters, and
furthermore obtain the correlation length that matches
the distance between varicosities found along axons.
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