| """ |
| A simple demo to load 2D 16-bit slices from DeepLesion and save to 3D nifti volumes. |
| The nifti volumes can be viewed in software such as 3D slicer and ITK-SNAP. |
| """ |
|
|
| import os |
| import cv2 |
|
|
| import numpy as np |
| import pandas as pd |
| import SimpleITK as sitk |
|
|
| from tqdm import tqdm |
|
|
|
|
| dir_in = '../Images_png' |
| dir_out = '../Images_nifti' |
| info_fn = '../DL_info.csv' |
|
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|
|
| def slices2nifti(ims, fn_out, spacing): |
| """save 2D slices to 3D nifti file considering the spacing""" |
| image_itk = sitk.GetImageFromArray(np.stack(ims, axis=0)) |
| image_itk.SetSpacing(spacing) |
| image_itk.SetDirection((1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0)) |
| sitk.WriteImage(image_itk, os.path.join(dir_out, fn_out)) |
| |
|
|
|
|
| def load_slices(dir, slice_idxs): |
| """load slices from 16-bit png files""" |
| ims = [] |
| for slice_idx in slice_idxs: |
| path = os.path.join(dir_in, dir, f'{slice_idx:03d}.png') |
| im = cv2.imread(path, cv2.IMREAD_UNCHANGED) |
| assert im is not None, f'Error reading: {path}' |
| |
|
|
| |
| ims.append((im.astype(np.int32) - 32768).astype(np.int16)) |
| return ims |
|
|
|
|
| if __name__ == '__main__': |
|
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| |
| dl_info = pd.read_csv(info_fn) |
| spacings = dl_info['Spacing_mm_px_'].str.split(',', expand=True).astype(float).values |
| ranges = dl_info['Slice_range'].str.split(',', expand=True).astype(int).values |
| img_dirs = dl_info['File_name'].str.rsplit('_', n=1).str[0].values |
|
|
| if not os.path.exists(dir_out): |
| os.mkdir(dir_out) |
|
|
| for idx, (img_dir, range, spacing) in tqdm(enumerate(zip(img_dirs, ranges, spacings)), total=len(img_dirs)): |
| |
| |
| ims = load_slices(img_dir, np.arange(*range)) |
| fn_out = f'{img_dir}_{range[0]:03d}-{range[-1]:03d}.nii.gz' |
| slices2nifti(ims, fn_out, spacing) |
|
|