matplotlib连续显示3D医疗影像dcm格式数据

import SimpleITK as sitk
import numpy as np
import pydicom
import matplotlib.pyplot as plt
import numpy as np

reader = sitk.ImageFileReader()
in_path = r'./datasets/data/dcm/tumor0.dcm'
reader.SetFileName(in_path)
reader.LoadPrivateTagsOn();
reader.ReadImageInformation();

len = 0
for k in reader.GetMetaDataKeys():
    v = reader.GetMetaData(k)
    len += 1
    print(k, v)
print(len)

ds = pydicom.read_file(in_path)  #读取.dcm文件
img = ds.pixel_array  #提取图像信息
print("*************************************")
img = np.transpose(img, (2, 1, 0))
a, b, c = img.shape

figure = plt.figure(figsize=(10.8, 7.2))
plt.ion()
plt.tight_layout()

for i in range(a):
    plt.imshow(img[i])
    plt.pause(0.01)
    plt.clf()
plt.show()

连续的单帧结果显示如下：