import nibabel as nib import numpy as np def load_ct_to_numpy(data_path): if not isinstance(data_path, str): data_path = data_path.name image = nib.load(data_path) data = image.get_fdata() data = np.rot90(data, k=1, axes=(0, 1)) data = np.flip(data, axis=0) data[data < -1024] = 1024 data[data > 1024] = 1024 data = data - np.amin(data) data = data / np.amax(data) * 255 data = data.astype("uint8") print(data.shape) return [data[..., i] for i in range(data.shape[-1])] def load_pred_volume_to_numpy(data_path): if not isinstance(data_path, str): data_path = data_path.name image = nib.load(data_path) data = image.get_fdata() data = np.rot90(data, k=1, axes=(0, 1)) data = np.flip(data, axis=0) data[data > 0] = 1 data = data.astype("uint8") print(data.shape) return [data[..., i] for i in range(data.shape[-1])]