0d10b42c1fb6b7ab65b38286292006cad2fe3531,dipy/tracking/life.py,,sl_signal,#Any#Any#Any#,95

Before Change

    // Preallocate:
    sph = dps.Sphere(xyz=gtab.bvecs)
    ADC = apparent_diffusion_coef(tens, sph)

    // Use the Stejskal-Tanner equation with the ADC as input, with S0 = 1:
    return np.exp(ADC)


class Fiber(ResetMixin):
    

After Change

    tensors = sl_tensors(sl, evals)
    sig = np.empty((len(sl), np.sum(~gtab.b0s_mask)))
    // Extract them once:
    bvecs = gtab.bvecs[~gtab.b0s_mask]
    bvals = gtab.bvals[~gtab.b0s_mask]
    for ii, tensor in enumerate(tensors):
        ADC = np.diag(np.dot(np.dot(bvecs, tensor), bvecs.T))
        // Use the Stejskal-Tanner equation with the ADC as input, and S0 = 1:
        sig[ii] = np.exp(-bvals * ADC)
    return sig


def voxel2fiber(sl, affine):

Instances