# MedicalDemo4

VTKExamples/Python/Medical/MedicalDemo4

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See (Cxx), (Java)

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### Code¶

MedicalDemo4.py

#!/usr/bin/env python

"""
"""

import vtk

def main():
colors = vtk.vtkNamedColors()

fileName = get_program_parameters()

colors.SetColor("BkgColor", [51, 77, 102, 255])

# Create the renderer, the render window, and the interactor. The renderer
# draws into the render window, the interactor enables mouse- and
# keyboard-based interaction with the scene.
ren = vtk.vtkRenderer()
renWin = vtk.vtkRenderWindow()
iren = vtk.vtkRenderWindowInteractor()
iren.SetRenderWindow(renWin)

# The following reader is used to read a series of 2D slices (images)
# that compose the volume. The slice dimensions are set, and the
# pixel spacing. The data Endianness must also be specified. The reader
# uses the FilePrefix in combination with the slice number to construct
# filenames using the format FilePrefix.%d. (In this case the FilePrefix
# is the root name of the file: quarter.)

# The volume will be displayed by ray-cast alpha compositing.
# A ray-cast mapper is needed to do the ray-casting.
volumeMapper = vtk.vtkFixedPointVolumeRayCastMapper()

# The color transfer function maps voxel intensities to colors.
# It is modality-specific, and often anatomy-specific as well.
# The goal is to one color for flesh (between 500 and 1000)
# and another color for bone (1150 and over).
volumeColor = vtk.vtkColorTransferFunction()

# The opacity transfer function is used to control the opacity
# of different tissue types.
volumeScalarOpacity = vtk.vtkPiecewiseFunction()

# The gradient opacity function is used to decrease the opacity
# in the "flat" regions of the volume while maintaining the opacity
# at the boundaries between tissue types.  The gradient is measured
# as the amount by which the intensity changes over unit distance.
# For most medical data, the unit distance is 1mm.

# The VolumeProperty attaches the color and opacity functions to the
# volume, and sets other volume properties.  The interpolation should
# be set to linear to do a high-quality rendering.  The ShadeOn option
# turns on directional lighting, which will usually enhance the
# appearance of the volume and make it look more "3D".  However,
# the quality of the shading depends on how accurately the gradient
# of the volume can be calculated, and for noisy data the gradient
# estimation will be very poor.  The impact of the shading can be
# decreased by increasing the Ambient coefficient while decreasing
# the Diffuse and Specular coefficient.  To increase the impact
# of shading, decrease the Ambient and increase the Diffuse and Specular.
volumeProperty = vtk.vtkVolumeProperty()
volumeProperty.SetColor(volumeColor)
volumeProperty.SetScalarOpacity(volumeScalarOpacity)
volumeProperty.SetInterpolationTypeToLinear()
volumeProperty.SetAmbient(0.4)
volumeProperty.SetDiffuse(0.6)
volumeProperty.SetSpecular(0.2)

# The vtkVolume is a vtkProp3D (like a vtkActor) and controls the position
# and orientation of the volume in world coordinates.
volume = vtk.vtkVolume()
volume.SetMapper(volumeMapper)
volume.SetProperty(volumeProperty)

# Finally, add the volume to the renderer

# Set up an initial view of the volume.  The focal point will be the
# center of the volume, and the camera position will be 400mm to the
# patient's left (which is our right).
camera = ren.GetActiveCamera()
c = volume.GetCenter()
camera.SetViewUp(0, 0, -1)
camera.SetPosition(c[0], c[1] - 400, c[2])
camera.SetFocalPoint(c[0], c[1], c[2])
camera.Azimuth(30.0)
camera.Elevation(30.0)

# Set a background color for the renderer
ren.SetBackground(colors.GetColor3d("BkgColor"))

# Increase the size of the render window
renWin.SetSize(640, 480)

# Interact with the data.
iren.Start()

def get_program_parameters():
import argparse
description = 'Read a volume dataset and displays it via volume rendering.'
epilogue = '''
Derived from VTK/Examples/Cxx/Medical4.cxx
'''
parser = argparse.ArgumentParser(description=description, epilog=epilogue,
formatter_class=argparse.RawDescriptionHelpFormatter)