DeepBrainSeg.registration package

Submodules

DeepBrainSeg.registration.registration module

class DeepBrainSeg.registration.registration.Coregistration

Bases: object

for data preprocessing converts volume into (1x1x1) resolution along with t1ce or mask registration

register_patient(moving_images, fixed_image, save_path, save_transform=True, isotropic=True)

moving_images : {‘key1’: path1, ‘key2’: path2} fixed_image :t1c path save_path: save path

resize_sitk_3D(image_array, outputSize=None, interpolator=2)

Resample 3D images Image: For Labels use nearest neighbour For image use sitkNearestNeighbor = 1, sitkLinear = 2, sitkBSpline = 3, sitkGaussian = 4, sitkLabelGaussian = 5,

Module contents