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.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
