如何在Python中使用VTK (MarchingCubes)进行3Dnumpy数组的体积渲染？

import vtk
from vtk.util import numpy_support
import numpy as np

volume_data = np.random.random((100, 100, 100))  # 示例随机生成一个100x100x100的numpy数组
vtk_data = numpy_support.numpy_to_vtk(volume_data.ravel(), deep=True, array_type=vtk.VTK_FLOAT)

image_data = vtk.vtkImageData()
image_data.SetDimensions(volume_data.shape)
image_data.SetSpacing(1, 1, 1)  # 设置体积数据的间距
image_data.GetPointData().SetScalars(vtk_data)

marching_cubes = vtk.vtkMarchingCubes()
marching_cubes.SetInputData(image_data)
marching_cubes.SetValue(0, 0.5)  # 设置等值面阈值

mapper = vtk.vtkPolyDataMapper()
mapper.SetInputConnection(marching_cubes.GetOutputPort())

actor = vtk.vtkActor()
actor.SetMapper(mapper)

renderer = vtk.vtkRenderer()
renderer.AddActor(actor)

render_window = vtk.vtkRenderWindow()
render_window.AddRenderer(renderer)

interactor = vtk.vtkRenderWindowInteractor()
interactor.SetRenderWindow(render_window)

interactor.Initialize()
render_window.Render()
interactor.Start()