In [1]:

    

import numpy as np
# Set numpy to print only 2 decimal digits for neatness
np.set_printoptions(precision=2, suppress=True)
import os
import nibabel as nb
from nibabel.testing import data_path


    

In [2]:

    

from nilearn import image


    

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nib.save(img1c, '/home/sophie/Documents/100412ss2onc.nii.gz')


    

    




---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-3-0ec4cf5c297d> in <module>()
----> 1 nib.save(img1c, '/home/sophie/Documents/100412ss2onc.nii.gz')

NameError: name 'nib' is not defined

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filename1 = '/home/sophie/Documents/100411ss2on.nii.gz'
img1 = nb.load(filename1)
data = img1.get_data()
S=data.shape


    

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S


    

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MeanImage=np.sum(data(:,:,:,1),axis=2)


    

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for x in range(1,100):
    for y in range(1,200):
        F(x,y)=np.sum(MeanImage(x:x+180,y:y+140))

[Id,M]=max(F)