FrogSlice

VTKEx/Python/Visualization/FrogSlice

This example uses a dataset derived from a frog. This data was prepared at Lawrence Berkeley National Laboratories and is included with their permission. The data was acquired by physically slicing the frog and photographing the slices. The original segmented data is in the form of tissue masks with one file per tissue. There are 136 slices per tissue and 15 different tissues. Each slice is 470 by 500 pixels. (To accommodate the volume readers we have in VTK, we processed the mask files and combined them all into one vtkMetaImageReader .mhd file. Integer numbers 1–15 to represent the 15 tissues.

This example shows a photographic slice of frog (upper left), segmented frog (upper right) and composite of photo and segmentation (bottom). The purple color represents the stomach and the kidneys are yellow.

Other languages

See (Cxx)

Question

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Code

FrogSlice.py

#!/usr/bin/env python

"""
"""

import vtk


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

    fileName1, fileName2, sliceNumber = get_program_parameters()

    sliceOrder = SliceOrder()

    # Now create the RenderWindow, Renderer and Interactor
    #
    ren1 = vtk.vtkRenderer()
    ren2 = vtk.vtkRenderer()
    ren3 = vtk.vtkRenderer()
    renWin = vtk.vtkRenderWindow()
    renWin.AddRenderer(ren1)
    renWin.AddRenderer(ren2)
    renWin.AddRenderer(ren3)

    iren = vtk.vtkRenderWindowInteractor()
    iren.SetRenderWindow(renWin)

    greyReader = vtk.vtkMetaImageReader()
    greyReader.SetFileName(fileName1)
    greyReader.Update()

    greyPadder = vtk.vtkImageConstantPad()
    greyPadder.SetInputConnection(greyReader.GetOutputPort())
    greyPadder.SetOutputWholeExtent(0, 511, 0, 511, sliceNumber, sliceNumber)
    greyPadder.SetConstant(0)

    greyPlane = vtk.vtkPlaneSource()

    greyTransform = vtk.vtkTransformPolyDataFilter()
    greyTransform.SetTransform(sliceOrder["hfsi"])
    greyTransform.SetInputConnection(greyPlane.GetOutputPort())

    greyNormals = vtk.vtkPolyDataNormals()
    greyNormals.SetInputConnection(greyTransform.GetOutputPort())
    greyNormals.FlipNormalsOff()

    wllut = vtk.vtkWindowLevelLookupTable()
    wllut.SetWindow(255)
    wllut.SetLevel(128)
    wllut.SetTableRange(0, 255)
    wllut.Build()

    greyMapper = vtk.vtkPolyDataMapper()
    greyMapper.SetInputConnection(greyPlane.GetOutputPort())

    greyTexture = vtk.vtkTexture()
    greyTexture.SetInputConnection(greyPadder.GetOutputPort())
    greyTexture.SetLookupTable(wllut)
    greyTexture.SetColorModeToMapScalars()
    greyTexture.InterpolateOn()

    greyActor = vtk.vtkActor()
    greyActor.SetMapper(greyMapper)
    greyActor.SetTexture(greyTexture)

    segmentReader = vtk.vtkMetaImageReader()
    segmentReader.SetFileName(fileName2)
    segmentReader.Update()

    segmentPadder = vtk.vtkImageConstantPad()
    segmentPadder.SetInputConnection(segmentReader.GetOutputPort())
    segmentPadder.SetOutputWholeExtent(0, 511, 0, 511, sliceNumber, sliceNumber)
    segmentPadder.SetConstant(0)

    segmentPlane = vtk.vtkPlaneSource()

    segmentTransform = vtk.vtkTransformPolyDataFilter()
    segmentTransform.SetTransform(sliceOrder["hfsi"])
    segmentTransform.SetInputConnection(segmentPlane.GetOutputPort())

    segmentNormals = vtk.vtkPolyDataNormals()
    segmentNormals.SetInputConnection(segmentTransform.GetOutputPort())
    segmentNormals.FlipNormalsOn()

    colorLut = CreateFrogLut()

    segmentMapper = vtk.vtkPolyDataMapper()
    segmentMapper.SetInputConnection(segmentPlane.GetOutputPort())

    segmentTexture = vtk.vtkTexture()
    segmentTexture.SetInputConnection(segmentPadder.GetOutputPort())
    segmentTexture.SetLookupTable(colorLut)
    segmentTexture.SetColorModeToMapScalars()
    segmentTexture.InterpolateOff()

    segmentActor = vtk.vtkActor()
    segmentActor.SetMapper(segmentMapper)
    segmentActor.SetTexture(segmentTexture)

    segmentOverlayActor = vtk.vtkActor()
    segmentOverlayActor.SetMapper(segmentMapper)
    segmentOverlayActor.SetTexture(segmentTexture)

    segmentOverlayActor.GetProperty().SetOpacity(.5)
    ren1.SetBackground(0, 0, 0)
    ren1.SetViewport(0, .5, .5, 1)
    renWin.SetSize(640, 480)
    ren1.AddActor(greyActor)

    ren2.SetBackground(0, 0, 0)
    ren2.SetViewport(.5, .5, 1, 1)
    ren2.AddActor(segmentActor)

    cam1 = vtk.vtkCamera()
    cam1.SetViewUp(0, -1, 0)
    cam1.SetPosition(0, 0, -1)
    ren1.SetActiveCamera(cam1)
    ren1.ResetCamera()
    cam1.SetViewUp(0, -1, 0)
    cam1.SetPosition(0.0554068, -0.0596001, -0.491383)
    cam1.SetFocalPoint(0.0554068, -0.0596001, 0)
    ren1.ResetCameraClippingRange()

    ren3.AddActor(greyActor)
    ren3.AddActor(segmentOverlayActor)
    segmentOverlayActor.SetPosition(0, 0, -.01)

    ren3.SetBackground(0, 0, 0)
    ren3.SetViewport(0, 0, 1, .5)

    ren2.SetActiveCamera(ren1.GetActiveCamera())
    ren3.SetActiveCamera(ren1.GetActiveCamera())

    renWin.Render()
    iren.Start()


def get_program_parameters():
    import argparse
    description = 'Visualization of a frog.'
    epilogue = '''
    Photographic slice of frog (upper left), segmented frog (upper right) and
     composite of photo and segmentation (bottom).
    The purple color represents the stomach and the kidneys are yellow.
    If slice = 39 it matches Figure 12-6 in the VTK Book.
    '''
    parser = argparse.ArgumentParser(description=description, epilog=epilogue,
                                     formatter_class=argparse.RawDescriptionHelpFormatter)
    parser.add_argument('filename1', help='frog.mhd.')
    parser.add_argument('filename2', help='frogtissue.mhd.')
    parser.add_argument('slice_number', default=39, type=int, nargs='?', help='Slice number.')
    args = parser.parse_args()
    return args.filename1, args.filename2, args.slice_number


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

    colorLut = vtk.vtkLookupTable()
    colorLut.SetNumberOfColors(17)
    colorLut.SetTableRange(0, 16)
    colorLut.Build()

    colorLut.SetTableValue(0, 0, 0, 0, 0)
    colorLut.SetTableValue(1, colors.GetColor4d("salmon"))  # blood
    colorLut.SetTableValue(2, colors.GetColor4d("beige"))  # brain
    colorLut.SetTableValue(3, colors.GetColor4d("orange"))  # duodenum
    colorLut.SetTableValue(4, colors.GetColor4d("misty_rose"))  # eye_retina
    colorLut.SetTableValue(5, colors.GetColor4d("white"))  # eye_white
    colorLut.SetTableValue(6, colors.GetColor4d("tomato"))  # heart
    colorLut.SetTableValue(7, colors.GetColor4d("raspberry"))  # ileum
    colorLut.SetTableValue(8, colors.GetColor4d("banana"))  # kidney
    colorLut.SetTableValue(9, colors.GetColor4d("peru"))  # l_intestine
    colorLut.SetTableValue(10, colors.GetColor4d("pink"))  # liver
    colorLut.SetTableValue(11, colors.GetColor4d("powder_blue"))  # lung
    colorLut.SetTableValue(12, colors.GetColor4d("carrot"))  # nerve
    colorLut.SetTableValue(13, colors.GetColor4d("wheat"))  # skeleton
    colorLut.SetTableValue(14, colors.GetColor4d("violet"))  # spleen
    colorLut.SetTableValue(15, colors.GetColor4d("plum"))  # stomach

    return colorLut


def SliceOrder():
    #
    # These transformations permute medical image data to maintain proper orientation
    # regardless of the acquisition order. After applying these transforms with
    # vtkTransformFilter, a view up of 0,-1,0 will result in the body part
    # facing the viewer.
    # NOTE: some transformations have a -1 scale factor for one of the components.
    #       To ensure proper polygon orientation and normal direction, you must
    #       apply the vtkPolyDataNormals filter.
    #
    # Naming:
    # si - superior to inferior (top to bottom)
    # is - inferior to superior (bottom to top)
    # ap - anterior to posterior (front to back)
    # pa - posterior to anterior (back to front)
    # lr - left to right
    # rl - right to left
    #

    sliceOrder = dict()

    siMatrix = [1, 0, 0, 0, 0, 0, 1, 0, 0, -1, 0, 0, 0, 0, 0, 1]
    si = vtk.vtkTransform()
    si.SetMatrix(siMatrix)
    sliceOrder["si"] = si

    isMatrix = [1, 0, 0, 0, 0, 0, -1, 0, 0, -1, 0, 0, 0, 0, 0, 1]
    i_s = vtk.vtkTransform()  # 'is' is a keyword in Python, changed to 'i_s'
    i_s.SetMatrix(isMatrix)
    sliceOrder["is"] = i_s

    ap = vtk.vtkTransform()
    ap.Scale(1, -1, 1)
    sliceOrder["ap"] = ap

    pa = vtk.vtkTransform()
    pa.Scale(1, -1, -1)
    sliceOrder["pa"] = pa

    lrMatrix = [0, 0, -1, 0, 0, -1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1]
    lr = vtk.vtkTransform()
    lr.SetMatrix(lrMatrix)
    sliceOrder["lr"] = lr

    rlMatrix = [0, 0, 1, 0, 0, -1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1]
    rl = vtk.vtkTransform()
    rl.SetMatrix(rlMatrix)
    sliceOrder["rl"] = rl

    #
    # The previous transforms assume radiological views of the slices (viewed from the feet). other
    # modalities such as physical sectioning may view from the head. these transforms modify the original
    # with a 180 rotation about y
    #
    hfMatrix = [-1, 0, 0, 0, 0, 1, 0, 0, 0, 0, -1, 0, 0, 0, 0, 1]
    hf = vtk.vtkTransform()
    hf.SetMatrix(hfMatrix)
    sliceOrder["hf"] = hf

    hfsi = vtk.vtkTransform()
    hfsi.Concatenate(hf.GetMatrix())
    hfsi.Concatenate(si.GetMatrix())
    sliceOrder["hfsi"] = hfsi

    hfis = vtk.vtkTransform()
    hfis.Concatenate(hf.GetMatrix())
    hfis.Concatenate(i_s.GetMatrix())
    sliceOrder["hfis"] = hfis

    hfap = vtk.vtkTransform()
    hfap.Concatenate(hf.GetMatrix())
    hfap.Concatenate(ap.GetMatrix())
    sliceOrder["hfap"] = hfap

    hfpa = vtk.vtkTransform()
    hfpa.Concatenate(hf.GetMatrix())
    hfpa.Concatenate(pa.GetMatrix())
    sliceOrder["hfpa"] = hfpa

    hflr = vtk.vtkTransform()
    hflr.Concatenate(hf.GetMatrix())
    hflr.Concatenate(lr.GetMatrix())
    sliceOrder[""] = hflr

    hfrl = vtk.vtkTransform()
    hfrl.Concatenate(hf.GetMatrix())
    hfrl.Concatenate(rl.GetMatrix())
    sliceOrder["hfrl"] = hfrl

    return sliceOrder


if __name__ == '__main__':
    main()