![]() load ( filepath ) # Get raw data scan = scan. Import nibabel as nib from scipy import ndimage def read_nifti_file ( filepath ): """Read and load volume""" # Read file scan = nib. ![]() Will be used when building training and validation datasets. Here we define several helper functions to process the data. We scale the HU values to be between 0 and 1.We first rotate the volumes by 90 degrees, so the orientation is fixed.To process the data, we do the following: A thresholdīetween -1000 and 400 is commonly used to normalize CT scans. They range from -1024 to above 2000 in this dataset.Ībove 400 are bones with different radiointensity, so this is used as a higher bound. You can install the package via pip install nibabel. The files are provided in Nifti format with the extension.
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