Brats2020数据集的读取—＞python中对.nii格式数据读取

首先要安装了torchio，安装指令：

pip install torchio

torchio：一个 Python 库，用于在深度学习中高效加载、预处理、增强和基于补丁的医学图像采样。

其次是找到.nii数据的相对位置或者绝对位置，修改到自己代码的相应位置。代码如下：

import torchio as tio
flair_path = './data/MICCAI_BraTS2020_TrainingData/BraTS20_Training_003/BraTS20_Training_003_flair.nii'
t1_path = './data/MICCAI_BraTS2020_TrainingData/BraTS20_Training_003/BraTS20_Training_003_t1.nii'
t1ce_path = './data/MICCAI_BraTS2020_TrainingData/BraTS20_Training_003/BraTS20_Training_003_t1ce.nii'
t2_path = './data/MICCAI_BraTS2020_TrainingData/BraTS20_Training_003/BraTS20_Training_003_t2.nii'
seg_path = './data/MICCAI_BraTS2020_TrainingData/BraTS20_Training_003/BraTS20_Training_003_seg.nii'


flair_img = tio.ScalarImage(flair_path)
t1_img = tio.ScalarImage(t1_path)
t1ce_img = tio.ScalarImage(t1ce_path)
t2_img = tio.ScalarImage(t2_path)
seg_img = tio.LabelMap(seg_path)

flair_img.plot()
t1_img.plot()
t1ce_img.plot()
t2_img.plot()
seg_img.plot()

显示结果：