FrogSlice
Repository source: FrogSlice
Description¶
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. A similar process was done for the frog skin.
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.
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Code¶
FrogSlice.py
#!/usr/bin/env python
from pathlib import Path
# noinspection PyUnresolvedReferences
import vtkmodules.vtkInteractionStyle
# noinspection PyUnresolvedReferences
import vtkmodules.vtkRenderingOpenGL2
from vtkmodules.vtkCommonColor import vtkNamedColors
from vtkmodules.vtkCommonCore import vtkLookupTable
from vtkmodules.vtkCommonMath import vtkMatrix4x4
from vtkmodules.vtkCommonTransforms import vtkTransform
from vtkmodules.vtkFiltersCore import vtkPolyDataNormals
from vtkmodules.vtkFiltersGeneral import vtkTransformPolyDataFilter
from vtkmodules.vtkFiltersSources import vtkPlaneSource
from vtkmodules.vtkIOImage import vtkMetaImageReader
from vtkmodules.vtkImagingCore import vtkImageConstantPad
from vtkmodules.vtkRenderingCore import (
vtkActor,
vtkCamera,
vtkPolyDataMapper,
vtkRenderWindow,
vtkRenderWindowInteractor,
vtkRenderer,
vtkTexture,
vtkWindowLevelLookupTable
)
def get_program_parameters(argv):
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('data_folder', help='The path to the files: frog.mhd and frogtissue.mhd.')
parser.add_argument('slice_number', default=39, type=int, nargs='?', help='Slice number.')
args = parser.parse_args()
return args.data_folder, args.slice_number
def main(data_folder, slice_number):
colors = vtkNamedColors()
path = Path(data_folder)
if path.is_dir():
s = ''
fn_1 = path.joinpath('frog').with_suffix('.mhd')
if not fn_1.is_file():
s += 'The file: {:s} does not exist.\n'.format(str(fn_1))
print(s)
fn_2 = path.joinpath('frogtissue').with_suffix('.mhd')
if not fn_2.is_file():
s += 'The file: {:s} does not exist.'.format(str(fn_2))
if s:
print(s)
return
else:
print('Expected a path to frog.mhs and frogtissue.mhd')
return
so = SliceOrder()
# Now create the RenderWindow, Renderer and Interactor
#
ren1 = vtkRenderer()
ren2 = vtkRenderer()
ren3 = vtkRenderer()
ren_win = vtkRenderWindow()
ren_win.AddRenderer(ren1)
ren_win.AddRenderer(ren2)
ren_win.AddRenderer(ren3)
ren_win.SetWindowName('FrogSlice')
iren = vtkRenderWindowInteractor()
iren.SetRenderWindow(ren_win)
grey_reader = vtkMetaImageReader()
grey_reader.SetFileName(str(fn_1))
grey_reader.Update()
grey_padder = vtkImageConstantPad()
grey_padder.SetInputConnection(grey_reader.GetOutputPort())
grey_padder.SetOutputWholeExtent(0, 511, 0, 511, slice_number, slice_number)
grey_padder.SetConstant(0)
grey_plane = vtkPlaneSource()
grey_transform = vtkTransformPolyDataFilter()
grey_transform.SetTransform(so.get('hfsi'))
grey_transform.SetInputConnection(grey_plane.GetOutputPort())
grey_normals = vtkPolyDataNormals()
grey_normals.SetInputConnection(grey_transform.GetOutputPort())
grey_normals.FlipNormalsOff()
wllut = vtkWindowLevelLookupTable()
wllut.SetWindow(255)
wllut.SetLevel(128)
wllut.SetTableRange(0, 255)
wllut.Build()
grey_mapper = vtkPolyDataMapper()
grey_mapper.SetInputConnection(grey_plane.GetOutputPort())
grey_texture = vtkTexture()
grey_texture.SetInputConnection(grey_padder.GetOutputPort())
grey_texture.SetLookupTable(wllut)
grey_texture.SetColorModeToMapScalars()
grey_texture.InterpolateOn()
grey_actor = vtkActor()
grey_actor.SetMapper(grey_mapper)
grey_actor.SetTexture(grey_texture)
segment_reader = vtkMetaImageReader()
segment_reader.SetFileName(str(fn_2))
segment_reader.Update()
segment_padder = vtkImageConstantPad()
segment_padder.SetInputConnection(segment_reader.GetOutputPort())
segment_padder.SetOutputWholeExtent(0, 511, 0, 511, slice_number, slice_number)
segment_padder.SetConstant(0)
segment_plane = vtkPlaneSource()
segment_transform = vtkTransformPolyDataFilter()
segment_transform.SetTransform(so.get('hfsi'))
segment_transform.SetInputConnection(segment_plane.GetOutputPort())
segment_normals = vtkPolyDataNormals()
segment_normals.SetInputConnection(segment_transform.GetOutputPort())
segment_normals.FlipNormalsOn()
lut = create_frog_lut(colors)
segment_mapper = vtkPolyDataMapper()
segment_mapper.SetInputConnection(segment_plane.GetOutputPort())
segment_texture = vtkTexture()
segment_texture.SetInputConnection(segment_padder.GetOutputPort())
segment_texture.SetLookupTable(lut)
segment_texture.SetColorModeToMapScalars()
segment_texture.InterpolateOff()
segment_actor = vtkActor()
segment_actor.SetMapper(segment_mapper)
segment_actor.SetTexture(segment_texture)
segment_overlay_actor = vtkActor()
segment_overlay_actor.SetMapper(segment_mapper)
segment_overlay_actor.SetTexture(segment_texture)
segment_overlay_actor.GetProperty().SetOpacity(.5)
ren1.SetBackground(0, 0, 0)
ren1.SetViewport(0, 0.5, 0.5, 1)
ren_win.SetSize(640, 480)
ren1.AddActor(grey_actor)
ren2.SetBackground(0, 0, 0)
ren2.SetViewport(0.5, 0.5, 1, 1)
ren2.AddActor(segment_actor)
cam1 = 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(grey_actor)
ren3.AddActor(segment_overlay_actor)
segment_overlay_actor.SetPosition(0, 0, -0.01)
ren1.SetBackground(colors.GetColor3d('SlateGray'))
ren2.SetBackground(colors.GetColor3d('SlateGray'))
ren3.SetBackground(colors.GetColor3d('SlateGray'))
ren3.SetViewport(0, 0, 1, 0.5)
ren2.SetActiveCamera(ren1.GetActiveCamera())
ren3.SetActiveCamera(ren1.GetActiveCamera())
ren_win.Render()
iren.Start()
def create_frog_lut(colors):
lut = vtkLookupTable()
lut.SetNumberOfColors(16)
lut.SetTableRange(0, 15)
lut.Build()
lut.SetTableValue(0, colors.GetColor4d('Black'))
lut.SetTableValue(1, colors.GetColor4d('salmon')) # blood
lut.SetTableValue(2, colors.GetColor4d('beige')) # brain
lut.SetTableValue(3, colors.GetColor4d('orange')) # duodenum
lut.SetTableValue(4, colors.GetColor4d('misty_rose')) # eye_retina
lut.SetTableValue(5, colors.GetColor4d('white')) # eye_white
lut.SetTableValue(6, colors.GetColor4d('tomato')) # heart
lut.SetTableValue(7, colors.GetColor4d('raspberry')) # ileum
lut.SetTableValue(8, colors.GetColor4d('banana')) # kidney
lut.SetTableValue(9, colors.GetColor4d('peru')) # l_intestine
lut.SetTableValue(10, colors.GetColor4d('pink')) # liver
lut.SetTableValue(11, colors.GetColor4d('powder_blue')) # lung
lut.SetTableValue(12, colors.GetColor4d('carrot')) # nerve
lut.SetTableValue(13, colors.GetColor4d('wheat')) # skeleton
lut.SetTableValue(14, colors.GetColor4d('violet')) # spleen
lut.SetTableValue(15, colors.GetColor4d('plum')) # stomach
return lut
class SliceOrder:
"""
These transformations permute image and other geometric 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 (the nomenclature is medical):
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
"""
def __init__(self):
self.si_mat = vtkMatrix4x4()
self.si_mat.Zero()
self.si_mat.SetElement(0, 0, 1)
self.si_mat.SetElement(1, 2, 1)
self.si_mat.SetElement(2, 1, -1)
self.si_mat.SetElement(3, 3, 1)
self.is_mat = vtkMatrix4x4()
self.is_mat.Zero()
self.is_mat.SetElement(0, 0, 1)
self.is_mat.SetElement(1, 2, -1)
self.is_mat.SetElement(2, 1, -1)
self.is_mat.SetElement(3, 3, 1)
self.lr_mat = vtkMatrix4x4()
self.lr_mat.Zero()
self.lr_mat.SetElement(0, 2, -1)
self.lr_mat.SetElement(1, 1, -1)
self.lr_mat.SetElement(2, 0, 1)
self.lr_mat.SetElement(3, 3, 1)
self.rl_mat = vtkMatrix4x4()
self.rl_mat.Zero()
self.rl_mat.SetElement(0, 2, 1)
self.rl_mat.SetElement(1, 1, -1)
self.rl_mat.SetElement(2, 0, 1)
self.rl_mat.SetElement(3, 3, 1)
"""
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
"""
self.hf_mat = vtkMatrix4x4()
self.hf_mat.Zero()
self.hf_mat.SetElement(0, 0, -1)
self.hf_mat.SetElement(1, 1, 1)
self.hf_mat.SetElement(2, 2, -1)
self.hf_mat.SetElement(3, 3, 1)
def s_i(self):
t = vtkTransform()
t.SetMatrix(self.si_mat)
return t
def i_s(self):
t = vtkTransform()
t.SetMatrix(self.is_mat)
return t
@staticmethod
def a_p():
t = vtkTransform()
return t.Scale(1, -1, 1)
@staticmethod
def p_a():
t = vtkTransform()
return t.Scale(1, -1, -1)
def l_r(self):
t = vtkTransform()
t.SetMatrix(self.lr_mat)
t.Update()
return t
def r_l(self):
t = vtkTransform()
t.SetMatrix(self.lr_mat)
return t
def h_f(self):
t = vtkTransform()
t.SetMatrix(self.hf_mat)
return t
def hf_si(self):
t = vtkTransform()
t.Concatenate(self.hf_mat)
t.Concatenate(self.si_mat)
return t
def hf_is(self):
t = vtkTransform()
t.Concatenate(self.hf_mat)
t.Concatenate(self.is_mat)
return t
def hf_ap(self):
t = vtkTransform()
t.Concatenate(self.hf_mat)
t.Scale(1, -1, 1)
return t
def hf_pa(self):
t = vtkTransform()
t.Concatenate(self.hf_mat)
t.Scale(1, -1, -1)
return t
def hf_lr(self):
t = vtkTransform()
t.Concatenate(self.hf_mat)
t.Concatenate(self.lr_mat)
return t
def hf_rl(self):
t = vtkTransform()
t.Concatenate(self.hf_mat)
t.Concatenate(self.rl_mat)
return t
def get(self, order):
"""
Returns the vtkTransform corresponding to the slice order.
:param order: The slice order
:return: The vtkTransform to use
"""
if order == 'si':
return self.s_i()
elif order == 'is':
return self.i_s()
elif order == 'ap':
return self.a_p()
elif order == 'pa':
return self.p_a()
elif order == 'lr':
return self.l_r()
elif order == 'rl':
return self.r_l()
elif order == 'hf':
return self.h_f()
elif order == 'hfsi':
return self.hf_si()
elif order == 'hfis':
return self.hf_is()
elif order == 'hfap':
return self.hf_ap()
elif order == 'hfpa':
return self.hf_pa()
elif order == 'hflr':
return self.hf_lr()
elif order == 'hfrl':
return self.hf_rl()
else:
s = 'No such transform "{:s}" exists.'.format(order)
raise Exception(s)
if __name__ == '__main__':
import sys
data_folder, slice_number = get_program_parameters(sys.argv)
main(data_folder, slice_number)