Beispiel #1
0
import numpy as np


for datat in range(2):

	if datat == 0:
		print 'fitting with dti'
		data, affine, gtab = get_train_dti(30)
	elif datat == 1:
		print 'fitting with hardi'
		data, affine, gtab = get_train_hardi(30)
	elif datat == 2:
		print 'fitting with dsi'
		data, affine, gtab = get_train_dsi(30)

	mask, affine = get_train_mask()

	data.shape
	mask.shape


	model = TensorModel(gtab)
	fit = model.fit(data, mask)
	print 'done!'
	fa = fit.fa


	slice_z = 25

	Th = [0.05, 0.075, 0.1,0.15]