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def __call__(self, subject):
# We'll assume all images in the subject have the same spacing
sx, sy, _ = subject.spacing
resample = tio.Resample((sx, sy, self.spacing_z))
resampled = resample(subject)
return resampled
torch.manual_seed(42)
image = tio.datasets.FPG().t1
transforms = tio.ToCanonical(), ResampleZ(spacing_z=7)
transform = tio.Compose(transforms)
transformed = transform(image)
subject = tio.Subject(original=image, transformed=transformed)
subject.plot()
Total running time of the script: (0 minutes 3.892 seconds)
Download Jupyter notebook: plot_custom_z_spacing.ipynb
Download Python source code: plot_custom_z_spacing.py
Download zipped: plot_custom_z_spacing.zip
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