simpleitk数据重采样for循环语句

以下是一个简单的示例，循环遍历所有的图像，对每个图像进行重采样：

import SimpleITK as sitk

# define the new resolution of the output image
new_spacing = [1.0, 1.0, 1.0]

# loop over all images
for file_path in file_paths:
    # load the image
    image = sitk.ReadImage(file_path)

    # get the original resolution of the image
    original_spacing = image.GetSpacing()

    # calculate the resampling factor
    resampling_factor = [orig / new for orig, new in zip(original_spacing, new_spacing)]

    # create the resampler object
    resampler = sitk.ResampleImageFilter()
    resampler.SetOutputSpacing(new_spacing)
    resampler.SetInterpolator(sitk.sitkLinear)

    # resample the image
    resampled_image = resampler.Execute(image)

    # save the resampled image
    output_file_path = file_path.replace('.nii.gz', '_resampled.nii.gz')
    sitk.WriteImage(resampled_image, output_file_path)

在这个例子中，我们将所有图像的分辨率重采样为[1,1,1]。每个图像都被加载，然后通过调用ResampleImageFilter类的Execute方法进行重采样。重采样后的图像被保存在新的文件路径中。