VoxelsOnBoundary
Repository source: VoxelsOnBoundary
Description¶
This example uses vtkMultiThreshold to extract voxels that are inside an isosurface and on the boundary of the isosurface. The result is a vtkUnstructuredGrid for each set of voxels. Before processing, vtkImageShrink3D reduces the resolution by a factor of 4.
Compare these results with MedicalDemo1 that extracts the surface using vtkFlyingEdges3D or vtkMarchingCubes to extract an interpolated isosurface.
Info
The example uses src/Testing/Data/FullHead.mhd
which references src/Testing/Data/FullHead.raw.gz
.
Other languages
See (Cxx)
Question
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Code¶
VoxelsOnBoundary.py
# !/usr/bin/env python3
from pathlib import Path
# noinspection PyUnresolvedReferences
import vtkmodules.vtkInteractionStyle
# noinspection PyUnresolvedReferences
import vtkmodules.vtkRenderingOpenGL2
from vtkmodules.vtkCommonColor import vtkNamedColors
from vtkmodules.vtkCommonDataModel import (
vtkPlane, vtkDataObject
)
from vtkmodules.vtkFiltersGeneral import vtkImageDataToPointSet, vtkMultiThreshold
from vtkmodules.vtkIOImage import vtkImageReader2Factory
from vtkmodules.vtkImagingCore import vtkImageShrink3D
from vtkmodules.vtkRenderingCore import (
vtkActor,
vtkDataSetMapper,
vtkRenderer,
vtkRenderWindow,
vtkRenderWindowInteractor,
)
def get_program_parameters():
import argparse
description = 'VoxelsOnBoundsry.'
epilogue = '''
'''
parser = argparse.ArgumentParser(description=description, epilog=epilogue,
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument('filename', help='The file to use e.g. FullHead.mhd.')
args = parser.parse_args()
return args.filename
def main():
fn = get_program_parameters()
fp = Path(fn)
file_check = True
if not fp.is_file():
print(f'Missing image file: {fp}.')
file_check = False
if not file_check:
return
colors = vtkNamedColors()
# Read the image.
reader: vtkImageReader2Factory = vtkImageReader2Factory().CreateImageReader2(str(fp))
reader.file_name = fp
# Can use this instead.
# reader = vtkMetaImageReader(file_name=fp)
reader.update()
shrink = vtkImageShrink3D(shrink_factors=(4, 4, 4))
reader >> shrink
shrink.update()
# Create a PointSet from the ImageData.
image_data_to_point_set = vtkImageDataToPointSet()
reader >> image_data_to_point_set
shrink >> image_data_to_point_set
# Extract voxels on the border between the inside and outside.
threshold = vtkMultiThreshold(input_data=image_data_to_point_set.update().output)
# Inside points have one or more points above the isosurface.
inside_id = threshold.AddIntervalSet(501, 20000, vtkMultiThreshold.CLOSED, vtkMultiThreshold.CLOSED,
vtkDataObject.FIELD_ASSOCIATION_POINTS, 'ImageScalars', 0, 0)
# Border points have points that straddle the boundary
border_id = threshold.AddIntervalSet(499.9999, 501.0000, vtkMultiThreshold.OPEN, vtkMultiThreshold.OPEN,
vtkDataObject.FIELD_ASSOCIATION_POINTS, 'ImageScalars', 0, 0)
# Select the intervals to be output
threshold.OutputSet(inside_id)
threshold.OutputSet(border_id)
threshold.Update()
# Visualize
colors = vtkNamedColors()
# outsideColor = colors.GetColor3d('Crimson')
inside_color = colors.GetColor3d('Banana')
border_color = colors.GetColor3d('Mint')
# surfaceColor = colors.GetColor3d('Peacock')
background_color = colors.GetColor3d('Silver')
input_data_inside = threshold.output.GetBlock(inside_id).GetBlock(0)
input_data_border = threshold.output.GetBlock(border_id).GetBlock(0)
normal = (1.0, -1.0, -1.0)
origin = input_data_inside.GetCenter()
plane = vtkPlane(origin=origin, normal=normal)
# Inside
inside_mapper = vtkDataSetMapper(input_data=input_data_inside, scalar_visibility=False)
inside_actor = vtkActor(mapper=inside_mapper)
inside_actor.property.diffuse_color = inside_color
inside_actor.property.specular = 0.6
inside_actor.property.specular_power = 30
inside_actor.property.edge_visibility = True
# Border
border_mapper = vtkDataSetMapper(input_data=input_data_border, scalar_visibility=False)
border_actor = vtkActor(mapper=border_mapper)
border_actor.property.diffuse_color = border_color
border_actor.property.specular = 0.6
border_actor.property.specular_power = 30
border_actor.property.edge_visibility = True
renderer = vtkRenderer(use_hidden_line_removal=True, background=background_color)
render_window = vtkRenderWindow(size=(640, 480), window_name='CellsOnBoundary')
render_window.AddRenderer(renderer)
render_window_interactor = vtkRenderWindowInteractor()
render_window_interactor.render_window = render_window
renderer.AddActor(inside_actor)
renderer.AddActor(border_actor)
render_window.Render()
# Set up a good view.
renderer.active_camera.view_up = (0, 0, -1)
renderer.active_camera.position = (0, -1, 0)
renderer.active_camera.focal_point = (0, 0, 0)
renderer.active_camera.Azimuth(30.0)
renderer.active_camera.Elevation(30.0)
renderer.ResetCamera()
renderer.active_camera.Dolly(1.5)
render_window_interactor.Start()
if __name__ == '__main__':
main()