A package to perform specific Medical Image processing operations based on SimpleITK such as alignment, resapling, and volume cropping\padding
Install MedProIO via pip
pip install MedProIOfrom MedProIO import Alignment
res = Alignment.AlignmentRegistration()
# set the reference Sitk object
res.set_reference_image(T2)
# set the moving Sitk object
res.set_moving_image(ADC)
# execute
res.execute_processing()
# get the transformed moving object
tr = res.get_transformed_image()
# Get a list with potential issues arose
issues = res.get_issues()from MedProIO import Resampler
res = Resampler.ResamplerToSpacing()
# set the reference Sitk object
res.set_reference_image(T2)
# set the spacing
res.set_spacing(spacing=(0.5, 0.5, 3.0))
# execute
res.execute_processing()
# get the transformed moving object
tr = res.get_transformed_image()
# Get a list with potential issues arose
issues = res.get_issues()from MedProIO import Coregistrator
res = Coregistrator.SequenceResampler()
# set the reference Sitk object
res.set_reference_image(T2)
# set the moving Sitk object
res.set_moving_image(ADC)
# execute
res.execute_processing()
# get the transformed moving object
tr = res.get_transformed_image()
# Get a list with potential issues arose
issues = res.get_issues()from MedProIO import CropAndPad
res = CropAndPad.VolumeCropperAndPadder()
# set the reference Sitk object
res.set_reference_image(T2)
# set the target size
res.set_target_size(target_size=(256,256,24))
# execute
res.execute_processing()
# get the transformed moving object
tr = res.get_transformed_image()
# Get a list with potential issues arose
issues = res.get_issues()
