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130 lines
4.1 KiB
Python
Executable File
130 lines
4.1 KiB
Python
Executable File
#!/usr/bin/env python
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# This example shows how to load a 3D image into VTK and then reformat
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# that image into a different orientation for viewing. It uses
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# vtkImageReslice for reformatting the image, and uses vtkImageActor
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# and vtkInteractorStyleImage to display the image. This InteractorStyle
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# forces the camera to stay perpendicular to the XY plane.
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import vtk
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from vtk.util.misc import vtkGetDataRoot
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VTK_DATA_ROOT = vtkGetDataRoot()
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# Start by loading some data.
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reader = vtk.vtkImageReader2()
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reader.SetFilePrefix(VTK_DATA_ROOT + "/Data/headsq/quarter")
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reader.SetDataExtent(0, 63, 0, 63, 1, 93)
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reader.SetDataSpacing(3.2, 3.2, 1.5)
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reader.SetDataOrigin(0.0, 0.0, 0.0)
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reader.SetDataScalarTypeToUnsignedShort()
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reader.UpdateWholeExtent()
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# Calculate the center of the volume
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reader.Update()
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(xMin, xMax, yMin, yMax, zMin, zMax) = reader.GetExecutive().GetWholeExtent(reader.GetOutputInformation(0))
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(xSpacing, ySpacing, zSpacing) = reader.GetOutput().GetSpacing()
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(x0, y0, z0) = reader.GetOutput().GetOrigin()
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center = [x0 + xSpacing * 0.5 * (xMin + xMax),
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y0 + ySpacing * 0.5 * (yMin + yMax),
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z0 + zSpacing * 0.5 * (zMin + zMax)]
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# Matrices for axial, coronal, sagittal, oblique view orientations
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axial = vtk.vtkMatrix4x4()
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axial.DeepCopy((1, 0, 0, center[0],
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0, 1, 0, center[1],
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0, 0, 1, center[2],
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0, 0, 0, 1))
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coronal = vtk.vtkMatrix4x4()
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coronal.DeepCopy((1, 0, 0, center[0],
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0, 0, 1, center[1],
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0,-1, 0, center[2],
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0, 0, 0, 1))
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sagittal = vtk.vtkMatrix4x4()
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sagittal.DeepCopy((0, 0,-1, center[0],
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1, 0, 0, center[1],
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0,-1, 0, center[2],
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0, 0, 0, 1))
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oblique = vtk.vtkMatrix4x4()
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oblique.DeepCopy((1, 0, 0, center[0],
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0, 0.866025, -0.5, center[1],
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0, 0.5, 0.866025, center[2],
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0, 0, 0, 1))
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# Extract a slice in the desired orientation
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reslice = vtk.vtkImageReslice()
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reslice.SetInputConnection(reader.GetOutputPort())
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reslice.SetOutputDimensionality(2)
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reslice.SetResliceAxes(sagittal)
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reslice.SetInterpolationModeToLinear()
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# Create a greyscale lookup table
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table = vtk.vtkLookupTable()
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table.SetRange(0, 2000) # image intensity range
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table.SetValueRange(0.0, 1.0) # from black to white
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table.SetSaturationRange(0.0, 0.0) # no color saturation
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table.SetRampToLinear()
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table.Build()
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# Map the image through the lookup table
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color = vtk.vtkImageMapToColors()
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color.SetLookupTable(table)
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color.SetInputConnection(reslice.GetOutputPort())
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# Display the image
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actor = vtk.vtkImageActor()
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actor.GetMapper().SetInputConnection(color.GetOutputPort())
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renderer = vtk.vtkRenderer()
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renderer.AddActor(actor)
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window = vtk.vtkRenderWindow()
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window.AddRenderer(renderer)
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# Set up the interaction
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interactorStyle = vtk.vtkInteractorStyleImage()
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interactor = vtk.vtkRenderWindowInteractor()
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interactor.SetInteractorStyle(interactorStyle)
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window.SetInteractor(interactor)
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window.Render()
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# Create callbacks for slicing the image
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actions = {}
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actions["Slicing"] = 0
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def ButtonCallback(obj, event):
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if event == "LeftButtonPressEvent":
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actions["Slicing"] = 1
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else:
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actions["Slicing"] = 0
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def MouseMoveCallback(obj, event):
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(lastX, lastY) = interactor.GetLastEventPosition()
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(mouseX, mouseY) = interactor.GetEventPosition()
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if actions["Slicing"] == 1:
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deltaY = mouseY - lastY
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reslice.Update()
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sliceSpacing = reslice.GetOutput().GetSpacing()[2]
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matrix = reslice.GetResliceAxes()
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# move the center point that we are slicing through
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center = matrix.MultiplyPoint((0, 0, sliceSpacing*deltaY, 1))
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matrix.SetElement(0, 3, center[0])
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matrix.SetElement(1, 3, center[1])
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matrix.SetElement(2, 3, center[2])
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window.Render()
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else:
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interactorStyle.OnMouseMove()
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interactorStyle.AddObserver("MouseMoveEvent", MouseMoveCallback)
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interactorStyle.AddObserver("LeftButtonPressEvent", ButtonCallback)
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interactorStyle.AddObserver("LeftButtonReleaseEvent", ButtonCallback)
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# Start interaction
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interactor.Start()
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