mean_signal¶

Import in python using from mcutils.scripts.MDE.micro_anisotropy import mean_signal

mcutils.scripts.MDE.micro_anisotropy.mean_signal(anisotropy, b_delta, Sbase=1)[source]¶

Computes the powder-averaged signal

Parameters

anisotropy – diffusion anisotropy weighted by the b-value: b (d_parallel - d_perp)
b_delta – anisotropy of the b-tensor (-0.5 for PTE, 0 for STE, and 1 for LTE)
Sbase – signal attenuated with mean diffusivity: S_0 exp(-b MD)

Returns

predicted mean signal