The easiest way is to use SimpleITK (MedPy uses ITK for .mhd/.raw files too). Command
pip install SimpleITK
works for many python versions. For reading .mhd/.raw you can use this code from kaggle
import SimpleITK as sitk
import numpy as np
'''
This funciton reads a '.mhd' file using SimpleITK and return the image array, origin and spacing of the image.
'''
def load_itk(filename):
# Reads the image using SimpleITK
itkimage = sitk.ReadImage(filename)
# Convert the image to a numpy array first and then shuffle the dimensions to get axis in the order z,y,x
ct_scan = sitk.GetArrayFromImage(itkimage)
# Read the origin of the ct_scan, will be used to convert the coordinates from world to voxel and vice versa.
origin = np.array(list(reversed(itkimage.GetOrigin())))
# Read the spacing along each dimension
spacing = np.array(list(reversed(itkimage.GetSpacing())))
return ct_scan, origin, spacing
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