0ae30da34308bd0efffb6c611a7e0f546ec69679,doc/examples/reconst_dti.py,,,#,74

Before Change

rectangular area around the middle of our datasets.


i,j,k,w = np.array(data.shape) / 2
data_small  = data[i-5:i+5, j-5:j+5, k-2:k+2]
from dipy.data import get_sphere
sphere = get_sphere("symmetric724")

After Change

tensor_vals = lower_triangular(tenfit.quadratic_form)
correct_order = [0,1,3,2,4,5]
tensor_vals_reordered = tensor_vals[:,:,:,correct_order]
nib.save(nib.Nifti1Image(tensor_vals_reordered.astype(np.float32), img.get_affine()), "tensors_coefs.nii")



Other tensor statistics can be calculated from the `tenfit` object. For example,

Instances