问题描述
我是 3D 图像处理的新手.我想知道如何在python中查看dicom系列.我尝试使用 matplotlib 和 VTK.在 matplot 中,我无法像使用 volViewer 在 matlab 中查看那样查看体积.关于 VTK,我无法导入 VTKRAyCASt 来查看 3D.我用的版本是8.2.0.
我正在使用 scipy.ndimages 进行处理
请为我的音量 dicom 文件推荐一些资源
你可以试试 ipyvolume
I am new to 3D image processing . I would like to know how to view the dicom series in python. I tried using matplotlib and VTK. In matplot I am not able to view the volume like I view in matlab using volViewer. Regarding VTK I am not able to import VTKRAyCASt for viewing 3D. The version I am using is 8.2.0.
I am doing the processing using scipy.ndimages
Kindly suggest me some resources to my volume dicom files
You can try ipyvolume https://github.com/maartenbreddels/ipyvolume for interactive plotting, I found it quite useful.Also, you can plot them with matplotlib by using marching cubes to obtain the surface mesh but it is quite slow though:
from mpl_toolkits.mplot3d.art3d import Poly3DCollection
import numpy as np
from skimage import measure
def plot_3d(image, threshold=-300):
p = image.transpose(2,1,0)
verts, faces, normals, values = measure.marching_cubes_lewiner(p, threshold)
fig = plt.figure(figsize=(10, 10))
ax = fig.add_subplot(111, projection='3d')
mesh = Poly3DCollection(verts[faces], alpha=0.1)
face_color = [0.5, 0.5, 1]
mesh.set_facecolor(face_color)
ax.add_collection3d(mesh)
ax.set_xlim(0, p.shape[0])
ax.set_ylim(0, p.shape[1])
ax.set_zlim(0, p.shape[2])
plt.show()
The threshold of -300 HU is fine for visualizing chest CT scans but change it if you going to use MRI (check your intensity values distribution) or binary volumes (threshold =0).
There is some example of visualization:
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