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This article mainly introduces "how to read 2D slices and display 3D models in batches by Python-VTK". In daily operation, I believe many people have doubts about how to read 2D slices and display 3D models in batches by Python-VTK. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful for you to answer the doubts of "how to read 2D slices and display 3D models in batches by Python-VTK". Next, please follow the editor to study!

Foreword:

VTK, (visualizationtoolkit) is an open source free software system, mainly used for three-dimensional computer graphics, image processing and visualization. Vtk is designed and implemented on the basis of object-oriented principle. Its kernel is built with C++. It contains about 250000 lines of code, more than 2000 classes, and several conversion interfaces, so it is also free to use vtk through various languages of Java,Tcl/Tk and Python.

Introduction of main functions

Vtk.vtkJPEGReader (): the interface for reading pictures, through which you can set the location, size and dimension of the images you read. It is important to note that if you need to read a list of two-dimensional images into a three-dimensional image, you need to name some images in the natural order 0,1,2,3 so that VTK can read the images correctly. If you need to read pictures in other formats, just change the JPEG in the function to the corresponding format, such as PNG.

Vtk.vtkMarchingCubes (): 3D reconstruction function, MarchingCubes algorithm is actually a divide-and-conquer method, because it distributes the extraction of isosurfaces in each voxel. For each voxel being processed, triangular patches are used to approach its internal equivalent surface. Each voxel is a small cube (cube), and each voxel is "scanned" during the process of constructing triangular patches, as if a processor is moving over these voxels, hence the name. In the process of isosurface extraction, a series of two-dimensional slice data is regarded as a three-dimensional data field, from which the material with a certain threshold is extracted and connected into triangular patches in a certain topological form, so the MC algorithm is also called "isosurface extraction" (IsosurfaceExtraction) algorithm. In medical applications, the MC algorithm can be used to reconstruct the external contours and internal tissues of the human body, so that doctors can directly observe the spatial relationship between the organs of interest and the surrounding tissues on three-dimensional images.

Import vtk# definition rendering window, interactive mode aRender = vtk.vtkRenderer () Renwin = vtk.vtkRenderWindow () Renwin.AddRenderer (aRender) iren = vtk.vtkRenderWindowInteractor () iren.SetRenderWindow (Renwin) # define an image reading interface # read PNG images and replace them with PNG_Reader = vtk.vtkPNGReader () Jpg_Reader = vtk.vtkJPEGReader () Jpg_Reader.SetNumberOfScalarComponents (1) Jpg_Reader.SetFileDimensionality (3) # indicate that the image is 3D # define the image size This line represents the image size as (512-512-240) Jpg_Reader.SetDataExtent (0,512,0,512,0) Jpg_Reader.SetFilePrefix ("E:/outer/label/5/") # sets the image prefix name # indicates that the image prefix is a number (e.g. 0.jpg) Jpg_Reader.SetFilePattern ("% s%d.jpg") Jpg_Reader.Update () Jpg_Reader.SetDataByteOrderToLittleEndian () # method for calculating contours contour = vtk.vtkMarchingCubes () contour.SetInputConnection (Jpg_Reader.GetOutputPort ()) contour.ComputeNormalsOn () contour.SetValue (0) Mapper = vtk.vtkPolyDataMapper () mapper.SetInputConnection (contour.GetOutputPort ()) mapper.ScalarVisibilityOff () actor = vtk.vtkActor () actor.SetMapper (mapper) renderer = vtk.vtkRenderer () renderer.SetBackground ([0.1,0.1,0.5]) renderer.AddActor (actor) window = vtk.vtkRenderWindow () window.SetSize (512,512) window.AddRenderer (renderer) interactor = vtk.vtkRenderWindowInteractor () interactor.SetRenderWindow (window) # start showing window.Render () interactor.Initialize () interactor.Start ()

At this point, the study of "how to read 2D slices and display 3D models in batches by Python-VTK" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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