def testIgnoreBTX(self):
"""Try to call a method that is BTX'd, to ensure VTK_IGNORE_BTX=ON
"""
stringArray = vtk.vtkStringArray()
information = vtk.vtkInformation()
stringArray.CopyInformation(information, 0)
def VtkCreaStrArraySetData(setToDraw, entTypeName, attr):
'''Creates an array of strings with information associated
to the points and cells.
Parameters:
setToDraw: set of entities to be displayed
entTypeName: type of entities to be displayed
("pnts", "lines", "nodes", "elementos")
attr: attribute to be stored in the array
'''
# Define matrix
arr= vtk.vtkStringArray()
arr.SetName(attr)
container= None
if(entTypeName=="pnts"):
container= setToDraw.getPoints
elif(entTypeName=="lines"):
container= setToDraw.getLines
elif(entTypeName=="nodes"):
container= setToDraw.getNodes
elif(entTypeName=="elementos"):
container= setToDraw.getElements
else:
lmsg.error("error: "+entTypeName+" not implemented.")
for e in container:
tmp= str(getattr(e,attr))
arr.InsertValue(e.getIdx,tmp)
return arr
def testMultiTreeOutputs(self):
outputs = vtk.vtkStringArray()
outputs.SetNumberOfComponents(1)
outputs.SetNumberOfTuples(2)
outputs.SetValue(0, "tree1")
outputs.SetValue(1, "tree2")
rcal = vtk.vtkRCalculatorFilter()
rcal.SetRscript("library(ape)\n\
tree1 = read.tree(text=\"" + tree_data + "\")\n\
tree2 = read.tree(text=\"" + tree_data + "\")\n")
rcal.GetTrees(outputs)
input = vtk.vtkTable()
rcal.SetInputData(input)
rcal.Update()
compo = rcal.GetOutput()
tree1 = compo.GetPieceAsDataObject(0)
self.assertTrue(tree1.IsA('vtkTree'))
tree2 = compo.GetPieceAsDataObject(1)
self.assertTrue(tree2.IsA('vtkTree'))
def testReturnByReference(self):
"""Return a string by reference."""
a = vtk.vtkStringArray()
s = "hello"
a.InsertNextValue(s)
t = a.GetValue(0)
self.assertEqual(t, s)
def GenerateVTKGraph(graph):
'''
Take the vertices and edge list in the graph parameter
and return a VTK graph.
'''
g = vtk.vtkMutableDirectedGraph()
# Label the vertices
labels = vtk.vtkStringArray()
labels.SetNumberOfComponents(1)
labels.SetName("Labels")
index = dict()
l = list(graph[0])
# Make the vertex labels and create a dictionary with the
# keys as labels and the vertex ids as the values.
for i in range(0, len(l)):
# Set the vertex labels
labels.InsertNextValue(l[i])
index[l[i]] = g.AddVertex()
g.GetVertexData().AddArray(labels)
# Add edges
l = list(graph[1])
for i in range(0, len(l)):
ll = list(l[i])
g.AddGraphEdge(index[ll[0]], index[ll[1]])
# g.Dump()
return g
def examineForImport(self,fileLists):
""" Returns a list of qSlicerDICOMLoadable
instances corresponding to ways of interpreting the
fileLists parameter.
"""
# Create loadables for each file list
loadables = []
for fileList in fileLists: # Each file list corresponds to one series, so do loadables
# Convert file list to VTK object to be able to pass it for examining
# (VTK class cannot have Qt object as argument, otherwise it is not python wrapped)
vtkFileList = vtk.vtkStringArray()
for file in fileList:
vtkFileList.InsertNextValue(slicer.util.toVTKString(file))
# Examine files
loadablesCollection = vtk.vtkCollection()
slicer.modules.dicomrtimportexport.logic().ExamineForLoad(vtkFileList, loadablesCollection)
for loadableIndex in xrange(0,loadablesCollection.GetNumberOfItems()):
vtkLoadable = loadablesCollection.GetItemAsObject(loadableIndex)
# Create Qt loadable if confidence is greater than 0
if vtkLoadable.GetConfidence() > 0:
# Convert to Qt loadable to pass it back
qtLoadable = slicer.qSlicerDICOMLoadable()
qtLoadable.copyFromVtkLoadable(vtkLoadable)
qtLoadable.tooltip = 'Valid RT object in selection'
qtLoadable.selected = True
loadables.append(qtLoadable)
return loadables
def loadFolder(self):
loader = self.folderLoader
loader.loadFile()
if loader.accepted:
loader.setDir(os.path.dirname(str(loader.selectedFolder)))
self.dicomReader = vtkgdcm.vtkGDCMImageReader()
regex = re.compile(r'.+\.dcm')
files = [x for x in os.listdir(loader.selectedFolder) if re.match(regex, x)]
self.seriesSize = len(files)
temp = vtk.vtkStringArray()
temp.SetNumberOfValues(len(files))
i = 0
for file in sorted(files):
temp.SetValue(i, os.path.join(str(loader.selectedFolder), file))
i = i + 1
self.dicomReader.SetFileNames(temp)
self.dicomReader.Update()
imageData = self.dicomReader.GetOutput()
size = imageData.GetDimensions()
width = size[0]
height = size[1]
self.vtkWidget.setMaximumSize(QtCore.QSize(width, height))
self.vtkWidget.setMinimumSize(QtCore.QSize(width, height))
self.viewer.SetInputConnection(self.dicomReader.GetOutputPort())
self.iren.ReInitialize()
self.getMedicalData()
self.enableSlider(self.seriesSize-1)
self.ui.dicomSlider.setFocus()
def _init(self):
g = vtk.vtkMutableDirectedGraph()
v1 = g.AddVertex()
v2 = g.AddVertex()
g.AddGraphEdge(v1,v2)
G_labels = vtk.vtkStringArray()
G_labels.SetName("VLabels")
G_labels.InsertNextValue("One")
G_labels.InsertNextValue("Two")
g.GetVertexData().AddArray(G_labels)
G_labels = vtk.vtkStringArray()
G_labels.SetName("VLabels")
G_labels.InsertNextValue("Three")
G_labels.InsertNextValue("Four")
g.GetVertexData().AddArray(G_labels)
return g
def __init__(self, filename, max_num_of_vertices=-1, edge_color_filename=None):
super(VTKVisualizer, self).__init__()
self.vertex_id_idx_map = {}
self.next_vertex_id = 0
self.edge_counter = 0
self.lookup_table = vtk.vtkLookupTable()
self.lookup_table.SetNumberOfColors(int(1e8))
self.edge_color_tuples = {}
self.edge_color_filename = edge_color_filename
self.label_vertex_id_map = {}
self.starting_vertex = None
self.starting_vertex_index = -1
self.filename = filename
self.max_num_of_vertices = max_num_of_vertices
self.g = vtk.vtkMutableDirectedGraph()
self.vertex_ids = vtk.vtkIntArray()
self.vertex_ids.SetNumberOfComponents(1)
self.vertex_ids.SetName(VERTEX_ID)
self.labels = vtk.vtkStringArray()
self.labels.SetNumberOfComponents(1)
self.labels.SetName(LABELS)
self.glyph_scales = vtk.vtkFloatArray()
self.glyph_scales.SetNumberOfComponents(1)
self.glyph_scales.SetName(SCALES)
self.edge_weights = vtk.vtkDoubleArray()
self.edge_weights.SetNumberOfComponents(1)
self.edge_weights.SetName(WEIGHTS)
self.edge_colors = vtk.vtkIntArray()
self.edge_colors.SetNumberOfComponents(1)
self.edge_colors.SetName(EDGE_COLORS)
def DICOMReaderToNumpy(directory):
file_list = glob.glob(directory + os.sep + "*")
file_list = sorted(file_list)
ipp = gdcm.IPPSorter()
ipp.SetComputeZSpacing(True)
ipp.Sort(file_list)
file_list = ipp.GetFilenames()
array = vtk.vtkStringArray()
for x in xrange(len(file_list)):
array.InsertValue(x, file_list[x])
read = vtkgdcm.vtkGDCMImageReader()
read.SetFileNames(array)
read.Update()
img = vtk.vtkImageData()
img.DeepCopy(read.GetOutput())
img.SetSpacing(1, 1, 1)
img.Update()
ex = img.GetExtent()
image = vtk.util.numpy_support.vtk_to_numpy(img.GetPointData().GetScalars())
image = image.reshape((ex[5] + 1, ex[1] + 1, ex[3] + 1))
return ApplyWindowLevel(image, 2000, 300)
def add_line(self, start, end, color=(0.5, 0.5, 0.5), width=1):
"""
Adds a line.
Args:
start:
Starting coordinates for line.
end:
Ending coordinates for line.
color:
Color for text as RGB. Defaults to grey.
width:
Width of line. Defaults to 1.
"""
source = vtk.vtkLineSource()
source.SetPoint1(start)
source.SetPoint2(end)
vertexIDs = vtk.vtkStringArray()
vertexIDs.SetNumberOfComponents(1)
vertexIDs.SetName("VertexIDs")
# Set the vertex labels
vertexIDs.InsertNextValue("a")
vertexIDs.InsertNextValue("b")
source.GetOutput().GetPointData().AddArray(vertexIDs)
mapper = vtk.vtkPolyDataMapper()
mapper.SetInputConnection(source.GetOutputPort())
actor = vtk.vtkActor()
actor.SetMapper(mapper)
actor.GetProperty().SetColor(color)
actor.GetProperty().SetLineWidth(width)
self.ren.AddActor(actor)
def computeStatistics(self, segmentationNode, grayscaleNode, visibleSegmentsOnly = True):
import vtkSegmentationCorePython as vtkSegmentationCore
self.reset()
self.segmentationNode = segmentationNode
self.grayscaleNode = grayscaleNode
# Get segment ID list
visibleSegmentIds = vtk.vtkStringArray()
if visibleSegmentsOnly:
self.segmentationNode.GetDisplayNode().GetVisibleSegmentIDs(visibleSegmentIds)
else:
self.segmentationNode.GetSegmentation().GetSegmentIDs(visibleSegmentIds)
if visibleSegmentIds.GetNumberOfValues() == 0:
logging.debug("computeStatistics will not return any results: there are no visible segments")
# Initialize self.statistics with segment IDs and names
for segmentIndex in range(visibleSegmentIds.GetNumberOfValues()):
segmentID = visibleSegmentIds.GetValue(segmentIndex)
segment = self.segmentationNode.GetSegmentation().GetSegment(segmentID)
self.statistics["SegmentIDs"].append(segmentID)
self.statistics[segmentID,"Segment"] = segment.GetName()
self.addSegmentLabelmapStatistics()
self.addGrayscaleVolumeStatistics()
self.addSegmentClosedSurfaceStatistics()
def getRAWReader(self, Series_Info, Channel):
"""
create a tiff reader that reads then given channel of the given series
"""
XYDim = Series_Info['Resolution_X'] - 1
NumSect = Series_Info['Number_Sections'] - 1
XSpace = Series_Info['Voxel_Width_X']
YSpace = Series_Info['Voxel_Height_Y']
ZSpace = Series_Info['Voxel_Depth_Z']
RAWReader = vtk.vtkImageReader2()
if self.progressCallback:
RAWReader.AddObserver("ProgressEvent", lib.messenger.send)
lib.messenger.connect(RAWReader, 'ProgressEvent', self.progressCallback)
arr = vtk.vtkStringArray()
for i in Channel:
arr.InsertNextValue(os.path.join(self.path, i))
RAWReader.SetFileNames(arr)
if Series_Info['Bit_Depth'] == 8:
RAWReader.SetDataScalarTypeToUnsignedChar()
elif Series_Info['Bit_Depth'] == 12:
RAWReader.SetDataScalarTypeToUnsignedShort()
RAWReader.FileLowerLeftOff()
spacingX,spacingY,spacingZ = 1.0,1.0,1.0
if XSpace != 0.0 and YSpace != 0.0:
spacingY = YSpace / XSpace
if XSpace != 0.0 and ZSpace != 0.0:
spacingZ = ZSpace / XSpace
RAWReader.SetDataExtent(0, XYDim, 0, XYDim, 0, NumSect)
RAWReader.SetDataSpacing(spacingX, spacingY, spacingZ)
RAWReader.Update()
return RAWReader
def onApply(self):
self.delayedAutoUpdateTimer.stop()
self.observeSegmentation(False)
import vtkSegmentationCorePython as vtkSegmentationCore
segmentationNode = self.scriptedEffect.parameterSetNode().GetSegmentationNode()
segmentationDisplayNode = segmentationNode.GetDisplayNode()
previewNode = self.getPreviewNode()
self.scriptedEffect.saveStateForUndo()
# Move segments from preview into current segmentation
segmentIDs = vtk.vtkStringArray()
previewNode.GetSegmentation().GetSegmentIDs(segmentIDs)
for index in xrange(segmentIDs.GetNumberOfValues()):
segmentID = segmentIDs.GetValue(index)
previewSegment = previewNode.GetSegmentation().GetSegment(segmentID)
previewSegmentLabelmap = previewSegment.GetRepresentation(vtkSegmentationCore.vtkSegmentationConverter.GetSegmentationBinaryLabelmapRepresentationName())
slicer.vtkSlicerSegmentationsModuleLogic.SetBinaryLabelmapToSegment(previewSegmentLabelmap, segmentationNode, segmentID)
if segmentationDisplayNode is not None and self.isBackgroundLabelmap(previewSegmentLabelmap):
# Automatically hide result segments that are background (all eight corners are non-zero)
segmentationDisplayNode.SetSegmentVisibility(segmentID, False)
previewNode.GetSegmentation().RemoveSegment(segmentID) # delete now to limit memory usage
self.reset()
def getSegmentIDs(segmentationNode, visibleOnly=False):
if not segmentationNode:
raise AttributeError("SegmentationNode must not be None!")
segmentIDs = vtk.vtkStringArray()
segmentation = segmentationNode.GetSegmentation()
command = segmentationNode.GetDisplayNode().GetVisibleSegmentIDs if visibleOnly else segmentation.GetSegmentIDs
command(segmentIDs)
return [segmentIDs.GetValue(idx) for idx in range(segmentIDs.GetNumberOfValues())]
def getSegmentIDs(segmentationNode, visibleOnly):
if not segmentationNode:
return []
segmentIDs = vtk.vtkStringArray()
segmentation = segmentationNode.GetSegmentation()
command = segmentationNode.GetDisplayNode().GetVisibleSegmentIDs if visibleOnly else segmentation.GetSegmentIDs
command(segmentIDs)
return [segmentIDs.GetValue(idx) for idx in range(segmentIDs.GetNumberOfValues())]
def testPassUnicodeAsString(self):
"""Pass a unicode where a string is expected. Should succeed."""
if not unicode_support:
return
a = vtk.vtkStringArray()
a.InsertNextValue(u'Francois')
s = a.GetValue(0)
self.assertEqual(s, 'Francois')
def onApply(self):
# Get list of visible segment IDs, as the effect ignores hidden segments.
segmentationNode = self.scriptedEffect.parameterSetNode().GetSegmentationNode()
visibleSegmentIds = vtk.vtkStringArray()
segmentationNode.GetDisplayNode().GetVisibleSegmentIDs(visibleSegmentIds)
if visibleSegmentIds.GetNumberOfValues() == 0:
logging.info("Smoothing operation skipped: there are no visible segments")
return
# This can be a long operation - indicate it to the user
qt.QApplication.setOverrideCursor(qt.Qt.WaitCursor)
# Allow users revert to this state by clicking Undo
self.scriptedEffect.saveStateForUndo()
# Export master image data to temporary new volume node.
# Note: Although the original master volume node is already in the scene, we do not use it here,
# because the master volume may have been resampled to match segmentation geometry.
import vtkSegmentationCorePython as vtkSegmentationCore
masterVolumeNode = slicer.vtkMRMLScalarVolumeNode()
slicer.mrmlScene.AddNode(masterVolumeNode)
masterVolumeNode.SetAndObserveTransformNodeID(segmentationNode.GetTransformNodeID())
slicer.vtkSlicerSegmentationsModuleLogic.CopyOrientedImageDataToVolumeNode(self.scriptedEffect.masterVolumeImageData(), masterVolumeNode)
# Generate merged labelmap of all visible segments, as the filter expects a single labelmap with all the labels.
mergedLabelmapNode = slicer.vtkMRMLLabelMapVolumeNode()
slicer.mrmlScene.AddNode(mergedLabelmapNode)
slicer.vtkSlicerSegmentationsModuleLogic.ExportSegmentsToLabelmapNode(segmentationNode, visibleSegmentIds, mergedLabelmapNode, masterVolumeNode)
# Run segmentation algorithm
import SimpleITK as sitk
import sitkUtils
# Read input data from Slicer into SimpleITK
labelImage = sitk.ReadImage(sitkUtils.GetSlicerITKReadWriteAddress(mergedLabelmapNode.GetName()))
backgroundImage = sitk.ReadImage(sitkUtils.GetSlicerITKReadWriteAddress(masterVolumeNode.GetName()))
# Run watershed filter
featureImage = sitk.GradientMagnitudeRecursiveGaussian(backgroundImage, float(self.scriptedEffect.doubleParameter("ObjectScaleMm")))
del backgroundImage
f = sitk.MorphologicalWatershedFromMarkersImageFilter()
f.SetMarkWatershedLine(False)
f.SetFullyConnected(False)
labelImage = f.Execute(featureImage, labelImage)
del featureImage
# Pixel type of watershed output is the same as the input. Convert it to int16 now.
if labelImage.GetPixelID() != sitk.sitkInt16:
labelImage = sitk.Cast(labelImage, sitk.sitkInt16)
# Write result from SimpleITK to Slicer. This currently performs a deep copy of the bulk data.
sitk.WriteImage(labelImage, sitkUtils.GetSlicerITKReadWriteAddress(mergedLabelmapNode.GetName()))
mergedLabelmapNode.GetImageData().Modified()
mergedLabelmapNode.Modified()
# Update segmentation from labelmap node and remove temporary nodes
slicer.vtkSlicerSegmentationsModuleLogic.ImportLabelmapToSegmentationNode(mergedLabelmapNode, segmentationNode, visibleSegmentIds)
slicer.mrmlScene.RemoveNode(masterVolumeNode)
slicer.mrmlScene.RemoveNode(mergedLabelmapNode)
qt.QApplication.restoreOverrideCursor()
def dict_to_vtkarrays(row, fields, attributes):
import vtk
for key in fields:
value = row[key]
comp = 1
if isinstance(value, list):
comp = len(value)
value = value[0]
if isinstance(value, (int, long, float)):
arr = vtk.vtkDoubleArray()
elif isinstance(value, str):
arr = vtk.vtkStringArray()
elif isinstance(value, unicode):
arr = vtk.vtkUnicodeStringArray()
else:
arr = vtk.vtkStringArray()
arr.SetName(key)
arr.SetNumberOfComponents(comp)
attributes.AddArray(arr)
def loadFilesWithArchetype(self,files,name):
"""Load files in the traditional Slicer manner
using the volume logic helper class
and the vtkITK archetype helper code
"""
name = slicer.util.toVTKString(name)
fileList = vtk.vtkStringArray()
for f in files:
fileList.InsertNextValue(slicer.util.toVTKString(f))
volumesLogic = slicer.modules.volumes.logic()
return(volumesLogic.AddArchetypeScalarVolume(files[0],name,0,fileList))
def testPassEncodedString(self):
"""Pass encoded 8-bit strings."""
a = vtk.vtkStringArray()
# latin1 encoded string will be returned as "bytes", which is
# just a normal str object in Python 2
encoded = cedilla.encode('latin1')
a.InsertNextValue(encoded)
result = a.GetValue(0)
self.assertEqual(type(result), bytes)
self.assertEqual(result, encoded)
# utf-8 encoded string will be returned as "str", which is
# actually unicode in Python 3
a = vtk.vtkStringArray()
encoded = cedilla.encode('utf-8')
a.InsertNextValue(encoded)
result = a.GetValue(0)
self.assertEqual(type(result), str)
if sys.hexversion >= 0x03000000:
self.assertEqual(result.encode('utf-8'), encoded)
else:
self.assertEqual(result, encoded)
def switchSegment(self, segmentIndexOffset = 1):
"""Select previous/next visible segment"""
currentSegmentId = self.editor.currentSegmentID()
visibleSegmentIds = vtk.vtkStringArray()
self.editor.segmentationNode().GetDisplayNode().GetVisibleSegmentIDs(visibleSegmentIds)
for segmentIndex in range(visibleSegmentIds.GetNumberOfValues()):
segmentId = visibleSegmentIds.GetValue(segmentIndex)
if segmentId == currentSegmentId:
newSegmentIndex = segmentIndex + segmentIndexOffset
if newSegmentIndex>=0 and newSegmentIndex<visibleSegmentIds.GetNumberOfValues():
newSegmentId = visibleSegmentIds.GetValue(newSegmentIndex)
self.editor.setCurrentSegmentID(newSegmentId)
return
def InitializeMetricsTable( metricsTable, taskNames ):
if ( metricsTable == None ):
return
metricsTable.GetTable().Initialize()
# TODO: Make the more robust (e.g. qSlicerMetricsTableWidget::METRIC_TABLE_COLUMNS)
metricsTableColumnNames = [ "MetricName", "MetricRoles", "MetricUnit" ]
metricsTableColumnNames = metricsTableColumnNames + taskNames
for columnName in metricsTableColumnNames:
column = vtk.vtkStringArray()
column.SetName( columnName )
metricsTable.GetTable().AddColumn( column )
def RemoveCells(self,cellIds):
networkCellArray = vtk.vtkCellArray()
networkLabelsArray = vtk.vtkStringArray()
numberOfCells = self.Network.GetNumberOfCells()
for i in range(numberOfCells):
if i in cellIds:
continue
networkCellArray.InsertNextCell(self.Network.GetCell(i))
networkLabelsArray.InsertNextValue(self.NetworkLabelsArray.GetValue(i))
self.Network.SetLines(networkCellArray)
self.NetworkLabelsArray.DeepCopy(networkLabelsArray)
self.Network.BuildCells()
self.Network.Modified()
def addTextureMetaData(polyData, materialName):
global materialsLibrary
material = materialsLibrary[materialName]
textureFile = material.effect.diffuse.sampler.surface.image.path
if not os.path.isfile(textureFile):
print 'warning, cannot find texture file:', os.path.abspath(textureFile)
s = vtk.vtkStringArray()
s.InsertNextValue(textureFile)
s.SetName('texture_filename')
polyData.GetFieldData().AddArray(s)
def GetTree(self):
"""Returns a full vtkTree based on data loaded in LoadData()."""
if self.data_loaded:
vertex_id = vtk.vtkIdTypeArray()
vertex_id.SetName('vertex_ids')
for ii in range(len(self.cp)):
vertex_id.InsertNextValue(ii)
NINvtk = VN.numpy_to_vtk(self.NumberInNet, deep=True)
NINvtk.SetName('num_in_vertex')
SCALESvtk = VN.numpy_to_vtk(self.Scales, deep=True)
SCALESvtk.SetName('scale')
# This array will default to empty strings
BLANKvtk = vtk.vtkStringArray()
BLANKvtk.SetNumberOfComponents(1)
BLANKvtk.SetNumberOfTuples(self.NumberInNet.shape[0])
BLANKvtk.SetName('blank')
# Build tree out of CP list of "is a child of"
# remembering that Matlab indices are 1-based and numpy/VTK 0-based
print 'Building graph'
dg = vtk.vtkMutableDirectedGraph()
edge_id = vtk.vtkIdTypeArray()
edge_id.SetName('edge_ids')
for ii in range(self.cp.size):
dg.AddVertex()
for ii in range(self.cp.size):
if self.cp[ii] > 0: # CP already zero-based
dg.AddGraphEdge(self.cp[ii],ii) # Method for use with wrappers -- AddEdge() in C++
edge_id.InsertNextValue(ii)
dg.GetVertexData().AddArray(NINvtk)
dg.GetVertexData().AddArray(SCALESvtk)
dg.GetVertexData().AddArray(vertex_id)
dg.GetVertexData().SetActiveScalars('scale')
dg.GetVertexData().SetActivePedigreeIds('vertex_ids')
dg.GetEdgeData().AddArray(edge_id)
dg.GetEdgeData().SetActivePedigreeIds('edge_ids')
tree = vtk.vtkTree()
tree.CheckedShallowCopy(dg)
return tree
else:
raise IOError, "Can't get tree until data is loaded successfully"
def __init__(self, filepaths):
"""
@type filenames: list
@param filenames: The list of image filenames to open as a volume
"""
self.reader = None
self.filepaths = filepaths
xmax, ymax = getImageSize(filepaths[0])
self.pixelExtents = (0, xmax, 0, ymax)
self.sliceRange = None
self.dataSpacing = None
self.imageArray = vtk.vtkStringArray()
for fname in filepaths:
self.imageArray.InsertNextValue(fname)
def ConvertStructureSetToLabelmap(self):
import vtkSegmentationCorePython as vtkSegmentationCore
labelmapsToSave = []
# Get all segmentation nodes from the scene
segmentationNodes = slicer.util.getNodes('vtkMRMLSegmentationNode*')
for segmentationNode in segmentationNodes.values():
logging.info(' Converting structure set ' + segmentationNode.GetName())
# Set referenced volume as rasterization reference
referenceVolume = slicer.vtkSlicerDicomRtImportExportModuleLogic.GetReferencedVolumeByDicomForSegmentation(
segmentationNode)
if referenceVolume == None:
logging.error('No reference volume found for segmentation ' + segmentationNode.GetName())
continue
# Perform conversion
binaryLabelmapRepresentationName = vtkSegmentationCore.vtkSegmentationConverter.GetSegmentationBinaryLabelmapRepresentationName()
segmentation = segmentationNode.GetSegmentation()
segmentation.CreateRepresentation(binaryLabelmapRepresentationName)
# Create labelmap volume nodes from binary labelmaps
segmentIDs = vtk.vtkStringArray()
segmentation.GetSegmentIDs(segmentIDs)
for segmentIndex in xrange(0, segmentIDs.GetNumberOfValues()):
segmentID = segmentIDs.GetValue(segmentIndex)
segment = segmentation.GetSegment(segmentID)
binaryLabelmap = segment.GetRepresentation(
vtkSegmentationCore.vtkSegmentationConverter.GetSegmentationBinaryLabelmapRepresentationName())
if not binaryLabelmap:
logging.error(
'Failed to retrieve binary labelmap from segment ' + segmentID + ' in segmentation ' + segmentationNode.GetName())
continue
labelmapNode = slicer.vtkMRMLLabelMapVolumeNode()
slicer.mrmlScene.AddNode(labelmapNode)
labelmapName = segmentationNode.GetName() + "_" + segmentID
labelmapNode.SetName(labelmapName)
if not slicer.vtkSlicerSegmentationsModuleLogic.CreateLabelmapVolumeFromOrientedImageData(
binaryLabelmap, labelmapNode):
logging.error('Failed to create labelmap from segment ' + segmentID + ' in segmentation ' + segmentationNode.GetName())
continue
# Append volume to list
labelmapsToSave.append(labelmapNode)
return labelmapsToSave
def computeStatistics(self):
"""Compute statistical measures for all (visible) segments"""
self.reset()
segmentationNode = slicer.mrmlScene.GetNodeByID(self.getParameterNode().GetParameter("Segmentation"))
# Get segment ID list
visibleSegmentIds = vtk.vtkStringArray()
if self.getParameterNode().GetParameter('visibleSegmentsOnly')=='True':
segmentationNode.GetDisplayNode().GetVisibleSegmentIDs(visibleSegmentIds)
else:
segmentationNode.GetSegmentation().GetSegmentIDs(visibleSegmentIds)
if visibleSegmentIds.GetNumberOfValues() == 0:
logging.debug("computeStatistics will not return any results: there are no visible segments")
# update statistics for all segment IDs
for segmentIndex in range(visibleSegmentIds.GetNumberOfValues()):
segmentID = visibleSegmentIds.GetValue(segmentIndex)
self.updateStatisticsForSegment(segmentID)
def makeVTKWellsUsingModule(fname_base, welltracks_df, xml=False):
numpoints = welltracks_df.shape[0]
wells = welltracks_df['Well'].unique().tolist()
numwells = len(wells)
grid = vtkUnstructuredGrid()
points = vtkPoints()
for i in range(numpoints):
points.InsertNextPoint(welltracks_df.loc[i,'X'], welltracks_df.loc[i,'Y'], welltracks_df.loc[i,'Elev_mASL'])
cells = vtkCellArray()
wellname = vtkStringArray()
wellname.SetName('Well')
for well in wells:
print well
polyline = vtkPolyLine()
indices = welltracks_df[welltracks_df['Well']==well].index.tolist()
for i, j in enumerate(indices):
polyline.GetPointIds().SetNumberOfIds(len(indices))
polyline.GetPointIds().SetId(i,j)
cells.InsertNextCell(polyline)
wellname.InsertNextValue(well)
grid.SetPoints(points)
grid.SetCells(VTK_POLY_LINE, cells)
grid.GetCellData().AddArray(wellname)
if xml:
writer = vtkXMLUnstructuredGridWriter()
writer.SetFileName('{}.vtu'.format(fname_base))
writer.SetDataModeToAscii()
writer.SetInputData(grid)
writer.Write()
else:
writer = vtkUnstructuredGridWriter()
writer.SetFileName('{}.vtk'.format(fname_base))
writer.SetInputData(grid)
writer.Write()
def test():
import vtk, qt, ctk, slicer
import os
slicer.modules.DeerSegmentorWidget.onBtnInitializeStudy()
for sid, deer in slicer.modules.DeerSegmentorWidget.logic.deers.items():
if not deer.db_info["done"] == '1':
continue
#open deer
slicer.modules.DeerSegmentorWidget.logic.load_deer(sid)
segmentation_node = slicer.mrmlScene.GetNodesByClass(
"vtkMRMLSegmentationNode").GetItemAsObject(0)
accepted = ["mask", "non-liver", "worm"]
volume = deer.node_dict[deer.t1_path]
labelmap_node = slicer.vtkMRMLLabelMapVolumeNode()
for seg_name in accepted:
print(f"exporting segement {seg_name}...")
segment = segmentation_node.GetSegmentation().GetSegment(seg_name)
segments = vtk.vtkStringArray()
segments.SetNumberOfValues(1)
segments.SetValue(0, segment.GetName())
slicer.mrmlScene.AddNode(labelmap_node)
slicer.vtkSlicerSegmentationsModuleLogic.ExportSegmentsToLabelmapNode(
segmentation_node, segments, labelmap_node, volume)
myStorageNode = labelmap_node.CreateDefaultStorageNode()
myStorageNode.SetFileName(
os.path.join(deer.slicer_out_dir, f"{seg_name}.nii.gz"))
myStorageNode.WriteData(labelmap_node)
slicer.mrmlScene.RemoveNode(myStorageNode)
slicer.mrmlScene.RemoveNode(labelmap_node)
#close deer
slicer.modules.DeerSegmentorWidget.logic.close_active_deer(True)
def getMaskVolume(referenceVolume):
from scipy import ndimage
shNode = slicer.mrmlScene.GetSubjectHierarchyNode()
# create segmentation node
segmentationNode = slicer.mrmlScene.AddNewNodeByClass(
"vtkMRMLSegmentationNode")
segmentationNode.CreateDefaultDisplayNodes()
segmentationNode.GetDisplayNode().SetVisibility(False)
# add masks
nLabelMaps = slicer.mrmlScene.GetNumberOfNodesByClass(
'vtkMRMLLabelMapVolumeNode')
for i in range(nLabelMaps):
labelMapNode = slicer.mrmlScene.GetNthNodeByClass(
i, 'vtkMRMLLabelMapVolumeNode')
if 'correction' in shNode.GetItemAttributeNames(
shNode.GetItemByDataNode(labelMapNode)):
slicer.modules.segmentations.logic(
).ImportLabelmapToSegmentationNode(labelMapNode, segmentationNode)
# if no segment return zeros
if not segmentationNode.GetSegmentation().GetNumberOfSegments():
slicer.mrmlScene.RemoveNode(segmentationNode)
scalarVolumeNode = GridNodeHelper.emptyVolume(
referenceVolume.GetImageData().GetDimensions(),
referenceVolume.GetOrigin(), referenceVolume.GetSpacing())
return scalarVolumeNode
# segmentation to label
labelMapNode = slicer.mrmlScene.AddNewNodeByClass(
"vtkMRMLLabelMapVolumeNode")
slicer.modules.segmentations.logic().ExportSegmentsToLabelmapNode(
segmentationNode, vtk.vtkStringArray(), labelMapNode, referenceVolume)
slicer.mrmlScene.RemoveNode(segmentationNode)
# distance filter
distanceFilterNode = getDistanceMap(labelMapNode)
slicer.mrmlScene.RemoveNode(labelMapNode)
distanceFilterArray = slicer.util.array(distanceFilterNode.GetID())
distanceFilterArray[:] = ndimage.gaussian_filter(
1 - (np.tanh(distanceFilterArray) + 1) / 2, 1)
distanceFilterNode.Modified()
return distanceFilterNode
def convert_string_array(arr, name=None):
"""A helper to convert a numpy array of strings to a vtkStringArray
or vice versa. Note that this is terribly inefficient - inefficient support
is better than no support :). If you have ideas on how to make this faster,
please consider opening a pull request.
"""
if isinstance(arr, np.ndarray):
vtkarr = vtk.vtkStringArray()
########### OPTIMIZE ###########
for val in arr:
vtkarr.InsertNextValue(val)
################################
if isinstance(name, str):
vtkarr.SetName(name)
return vtkarr
# Otherwise it is a vtk array and needs to be converted back to numpy
carr = np.empty(arr.GetNumberOfValues(), dtype='O')
############### OPTIMIZE ###############
for i in range(arr.GetNumberOfValues()):
carr[i] = arr.GetValue(i)
########################################
return carr.astype('|S')
def onApply(self):
self.delayedAutoUpdateTimer.stop()
self.observeSegmentation(False)
import vtkSegmentationCorePython as vtkSegmentationCore
segmentationNode = self.scriptedEffect.parameterSetNode(
).GetSegmentationNode()
segmentationDisplayNode = segmentationNode.GetDisplayNode()
previewNode = self.getPreviewNode()
self.scriptedEffect.saveStateForUndo()
previewContainsClosedSurfaceRepresentation = previewNode.GetSegmentation(
).ContainsRepresentation(
slicer.vtkSegmentationConverter.
GetSegmentationClosedSurfaceRepresentationName())
# Move segments from preview into current segmentation
segmentIDs = vtk.vtkStringArray()
previewNode.GetSegmentation().GetSegmentIDs(segmentIDs)
for index in range(segmentIDs.GetNumberOfValues()):
segmentID = segmentIDs.GetValue(index)
previewSegmentLabelmap = slicer.vtkOrientedImageData()
previewNode.GetBinaryLabelmapRepresentation(
segmentID, previewSegmentLabelmap)
self.scriptedEffect.modifySegmentByLabelmap(
segmentationNode, segmentID, previewSegmentLabelmap,
slicer.qSlicerSegmentEditorAbstractEffect.ModificationModeSet)
if segmentationDisplayNode is not None and self.isBackgroundLabelmap(
previewSegmentLabelmap):
# Automatically hide result segments that are background (all eight corners are non-zero)
segmentationDisplayNode.SetSegmentVisibility(segmentID, False)
previewNode.GetSegmentation().RemoveSegment(
segmentID) # delete now to limit memory usage
if previewContainsClosedSurfaceRepresentation:
segmentationNode.CreateClosedSurfaceRepresentation()
self.reset()
def OnRemoveIslandsButtonClicked(self):
logic = UsSurfaceToLandmarksLogic()
WorkingLabelMap = self.WorkingLabelMapStorage.currentNode()
WorkingImageData = WorkingLabelMap.GetImageData()
# Clear mrmlScene of old labelmap node before exporting the new one
OldLabelMapNode = self.WorkingLabelMapStorage.currentNode()
if OldLabelMapNode != None:
slicer.mrmlScene.RemoveNode(OldLabelMapNode)
print "DEBUG - About to remove islands"
LabelMapIslandsRemoved = logic.RemoveCoronalIslands(
WorkingImageData, self.IslandSizeThresholdSlider.value)
LabelMapIslandsRemoved.SetName(WorkingLabelMap.GetName())
print "DEBUG - Islands removed"
ConvSeg = slicer.vtkMRMLSegmentationNode()
ConvSeg.SetScene(slicer.mrmlScene)
SegLogic = slicer.modules.segmentations.logic()
SegLogic.ImportLabelmapToSegmentationNode(LabelMapIslandsRemoved,
ConvSeg)
ConvSeg.CreateBinaryLabelmapRepresentation()
ConvSeg.SetMasterRepresentationToBinaryLabelmap()
LabelMapName = vtk.vtkStringArray()
LabelMapName.InsertNextValue(WorkingLabelMap.GetName())
DeislandedLabelMapNode = slicer.vtkMRMLLabelMapVolumeNode()
DeislandedLabelMapNode.SetName(WorkingLabelMap.GetName())
slicer.mrmlScene.AddNode(DeislandedLabelMapNode)
SegLogic.ExportSegmentsToLabelmapNode(ConvSeg, LabelMapName,
DeislandedLabelMapNode)
# Update mrmlScene and UI
#slicer.mrmlScene.AddNode(LabelMapIslandsRemoved)
self.WorkingLabelMapStorage.setCurrentNode(DeislandedLabelMapNode)
self.UpdateSegmentationNode()
return True
def createEntropionSegment(segmentation_node, ref_img_path,
out_segmentation_path):
if segmentation_node is None or not ref_img_path.exists():
print('Could not find: {}'.format(ref_img_path))
return
current_segmentation = segmentation_node.GetSegmentation()
number_of_segments = current_segmentation.GetNumberOfSegments()
if number_of_segments > 3:
# Most probably has an entropion already, return
return
# Export segment as vtkImageData (via temporary labelmap volume node)
image_node = slicer.util.loadVolume(str(ref_img_path),
{'singleFile': True})
segmentIds = vtk.vtkStringArray()
current_segmentation.GetSegmentIDs(segmentIds)
segmentIds.InsertNextValue('Entropion')
segmentation_node.GetSegmentation().AddEmptySegment('Entropion')
# Save this label to image
slicer.util.saveNode(segmentation_node, str(out_segmentation_path))
def onApply(self):
# Make sure the user wants to do the operation, even if the segment is not visible
if not self.scriptedEffect.confirmCurrentSegmentVisible():
return
try:
# This can be a long operation - indicate it to the user
qt.QApplication.setOverrideCursor(qt.Qt.WaitCursor)
self.scriptedEffect.saveStateForUndo()
applyToAllVisibleSegments = int(self.scriptedEffect.parameter("ApplyToAllVisibleSegments")) != 0 \
if self.scriptedEffect.parameter("ApplyToAllVisibleSegments") else False
if applyToAllVisibleSegments:
# Smooth all visible segments
inputSegmentIDs = vtk.vtkStringArray()
segmentationNode = self.scriptedEffect.parameterSetNode().GetSegmentationNode()
segmentationNode.GetDisplayNode().GetVisibleSegmentIDs(inputSegmentIDs)
segmentEditorWidget = slicer.modules.segmenteditor.widgetRepresentation().self().editor
segmentEditorNode = segmentEditorWidget.mrmlSegmentEditorNode()
# store which segment was selected before operation
selectedStartSegmentID = segmentEditorNode.GetSelectedSegmentID()
if inputSegmentIDs.GetNumberOfValues() == 0:
logging.info("Margin operation skipped: there are no visible segments.")
return
# select input segments one by one, process
for index in range(inputSegmentIDs.GetNumberOfValues()):
segmentID = inputSegmentIDs.GetValue(index)
self.showStatusMessage(f'Processing {segmentationNode.GetSegmentation().GetSegment(segmentID).GetName()}...')
segmentEditorNode.SetSelectedSegmentID(segmentID)
self.processMargin()
# restore segment selection
segmentEditorNode.SetSelectedSegmentID(selectedStartSegmentID)
else:
self.processMargin()
finally:
qt.QApplication.restoreOverrideCursor()
def convertSegmentation(self, segPath, volPath, binLabelOutPath):
"""This function will take in the path to a segmentation file,
a nrrd volume file, and the desired output path for the binary labelmap.
It will load the segmentation into slicer, find the segmentation id for
the colon segment, and convert that segment into a binary labelmap.
It will save it to the output path parameter. """
success, segNode = slicer.util.loadSegmentation(segPath,
returnNode=True)
segmentation = segNode.GetSegmentation()
segID = segmentation.GetSegmentIdBySegmentName('colon')
segment = segmentation.GetSegment(segID)
labelMapNode = slicer.vtkMRMLLabelMapVolumeNode()
slicer.mrmlScene.AddNode(labelMapNode)
success, referenceNode = slicer.util.loadVolume(volPath,
returnNode=True)
segToExport = vtk.vtkStringArray()
segToExport.InsertNextValue(segID)
slicer.modules.segmentations.logic().ExportSegmentsToLabelmapNode(
segNode, segToExport, labelMapNode, referenceNode)
slicer.util.saveNode(labelMapNode, binLabelOutPath)
logging.info("Saved: " + binLabelOutPath)
def make_rect(coords):
xmin, ymin, xmax, ymax = coords
pts = vtk.vtkPoints()
pts.InsertPoint(0, xmin, ymin, 0)
pts.InsertPoint(1, xmax, ymin, 0)
pts.InsertPoint(2, xmax, ymax, 0)
pts.InsertPoint(3, xmin, ymax, 0)
rect = vtk.vtkCellArray()
rect.InsertNextCell(5)
rect.InsertCellPoint(0)
rect.InsertCellPoint(1)
rect.InsertCellPoint(2)
rect.InsertCellPoint(3)
rect.InsertCellPoint(0)
output = vtk.vtkPolyData()
output.SetPoints(pts)
output.SetLines(rect)
labels = vtk.vtkStringArray()
labels.InsertNextValue("one")
labels.InsertNextValue("two")
labels.InsertNextValue("three")
labels.InsertNextValue("four")
labels.SetName("labels")
output.GetPointData().AddArray(labels)
tenths = vtk.vtkTypeInt64Array()
tenths.InsertNextValue(to_str("10abcdefgh"))
tenths.InsertNextValue(to_str("20abcdefgh"))
tenths.InsertNextValue(to_str("30abcdefgh"))
tenths.InsertNextValue(to_str("40abcdefgh"))
tenths.SetName("tenths")
output.GetPointData().AddArray(tenths)
return output
def testMultiTableOutputs(self):
outputs = vtk.vtkStringArray()
outputs.SetNumberOfComponents(1)
outputs.SetNumberOfTuples(3)
outputs.SetValue(0, "output1")
outputs.SetValue(1, "output2")
outputs.SetValue(2, "output3")
rcal = vtk.vtkRCalculatorFilter()
rcal.SetRscript("output1 = list(test=c(1,2,3,4))\n\
output2 = list(test=c(5,6,7,8))\n\
output3 = list(test=c(9,10,11,12))\n");
rcal.GetTables(outputs)
input = vtk.vtkTable()
rcal.SetInputData(input)
rcal.Update()
t1 = rcal.GetOutput().GetPieceAsDataObject(0).GetColumnByName('test')
value = 1
for i in range(0, t1.GetNumberOfTuples()):
self.assertEqual(value, t1.GetValue(i))
value += 1
t2 = rcal.GetOutput().GetPieceAsDataObject(1).GetColumnByName('test')
for i in range(0, t2.GetNumberOfTuples()):
self.assertEqual(value, t2.GetValue(i))
value += 1
t3 = rcal.GetOutput().GetPieceAsDataObject(2).GetColumnByName('test')
for i in range(0, t3.GetNumberOfTuples()):
self.assertEqual(value, t3.GetValue(i))
value += 1
def createMeshFromSegmentationTetGen(self,
inputSegmentation,
outputMeshNode,
additionalParameters=""):
visibleSegmentIds = vtk.vtkStringArray()
inputSegmentation.GetDisplayNode().GetVisibleSegmentIDs(
visibleSegmentIds)
if visibleSegmentIds.GetNumberOfValues() == 0:
logging.info(
"createMeshFromSegmentationTetGen skipped: there are no visible segments"
)
return
inputSegmentation.CreateClosedSurfaceRepresentation()
appender = vtk.vtkAppendPolyData()
for i in range(visibleSegmentIds.GetNumberOfValues()):
segmentId = visibleSegmentIds.GetValue(i)
polydata = inputSegmentation.GetClosedSurfaceRepresentation(
segmentId)
appender.AddInputData(polydata)
appender.Update()
self.createMeshFromPolyDataTetGen(appender.GetOutput(), outputMeshNode,
additionalParameters)
def testMultiTreeOutputs(self):
outputs = vtk.vtkStringArray()
outputs.SetNumberOfComponents(1)
outputs.SetNumberOfTuples(2)
outputs.SetValue(0, "tree1")
outputs.SetValue(1, "tree2")
rcal = vtk.vtkRCalculatorFilter()
rcal.SetRscript("library(ape)\n\
tree1 = read.tree(text=\"" + tree_data + "\")\n\
tree2 = read.tree(text=\"" + tree_data + "\")\n")
rcal.GetTrees(outputs)
input = vtk.vtkTable()
rcal.SetInputData(input)
rcal.Update()
compo = rcal.GetOutput()
tree1 = compo.GetPieceAsDataObject(0)
self.assertTrue(tree1.IsA('vtkTree'))
tree2 = compo.GetPieceAsDataObject(1)
self.assertTrue(tree2.IsA('vtkTree'))
def computeStatistics(self):
"""Compute statistical measures for all (visible) segments"""
self.reset()
segmentationNode = slicer.mrmlScene.GetNodeByID(
self.getParameterNode().GetParameter("Segmentation"))
# Get segment ID list
visibleSegmentIds = vtk.vtkStringArray()
if self.getParameterNode().GetParameter(
'visibleSegmentsOnly') == 'True':
segmentationNode.GetDisplayNode().GetVisibleSegmentIDs(
visibleSegmentIds)
else:
segmentationNode.GetSegmentation().GetSegmentIDs(visibleSegmentIds)
if visibleSegmentIds.GetNumberOfValues() == 0:
logging.debug(
"computeStatistics will not return any results: there are no visible segments"
)
# update statistics for all segment IDs
for segmentIndex in range(visibleSegmentIds.GetNumberOfValues()):
segmentID = visibleSegmentIds.GetValue(segmentIndex)
self.updateStatisticsForSegment(segmentID)
def onApply(self):
# Get list of visible segment IDs, as the effect ignores hidden segments.
segmentationNode = self.scriptedEffect.parameterSetNode(
).GetSegmentationNode()
visibleSegmentIds = vtk.vtkStringArray()
segmentationNode.GetDisplayNode().GetVisibleSegmentIDs(
visibleSegmentIds)
if visibleSegmentIds.GetNumberOfValues() == 0:
logging.info(
"Smoothing operation skipped: there are no visible segments")
return
# This can be a long operation - indicate it to the user
qt.QApplication.setOverrideCursor(qt.Qt.WaitCursor)
# Allow users revert to this state by clicking Undo
self.scriptedEffect.saveStateForUndo()
# Export source image data to temporary new volume node.
# Note: Although the original source volume node is already in the scene, we do not use it here,
# because the source volume may have been resampled to match segmentation geometry.
sourceVolumeNode = slicer.vtkMRMLScalarVolumeNode()
slicer.mrmlScene.AddNode(sourceVolumeNode)
sourceVolumeNode.SetAndObserveTransformNodeID(
segmentationNode.GetTransformNodeID())
slicer.vtkSlicerSegmentationsModuleLogic.CopyOrientedImageDataToVolumeNode(
self.scriptedEffect.sourceVolumeImageData(), sourceVolumeNode)
# Generate merged labelmap of all visible segments, as the filter expects a single labelmap with all the labels.
mergedLabelmapNode = slicer.vtkMRMLLabelMapVolumeNode()
slicer.mrmlScene.AddNode(mergedLabelmapNode)
slicer.vtkSlicerSegmentationsModuleLogic.ExportSegmentsToLabelmapNode(
segmentationNode, visibleSegmentIds, mergedLabelmapNode,
sourceVolumeNode)
# Run segmentation algorithm
import SimpleITK as sitk
import sitkUtils
# Read input data from Slicer into SimpleITK
labelImage = sitk.ReadImage(
sitkUtils.GetSlicerITKReadWriteAddress(
mergedLabelmapNode.GetName()))
backgroundImage = sitk.ReadImage(
sitkUtils.GetSlicerITKReadWriteAddress(sourceVolumeNode.GetName()))
# Run watershed filter
featureImage = sitk.GradientMagnitudeRecursiveGaussian(
backgroundImage,
float(self.scriptedEffect.doubleParameter("ObjectScaleMm")))
del backgroundImage
f = sitk.MorphologicalWatershedFromMarkersImageFilter()
f.SetMarkWatershedLine(False)
f.SetFullyConnected(False)
labelImage = f.Execute(featureImage, labelImage)
del featureImage
# Pixel type of watershed output is the same as the input. Convert it to int16 now.
if labelImage.GetPixelID() != sitk.sitkInt16:
labelImage = sitk.Cast(labelImage, sitk.sitkInt16)
# Write result from SimpleITK to Slicer. This currently performs a deep copy of the bulk data.
sitk.WriteImage(
labelImage,
sitkUtils.GetSlicerITKReadWriteAddress(
mergedLabelmapNode.GetName()))
mergedLabelmapNode.GetImageData().Modified()
mergedLabelmapNode.Modified()
# Update segmentation from labelmap node and remove temporary nodes
slicer.vtkSlicerSegmentationsModuleLogic.ImportLabelmapToSegmentationNode(
mergedLabelmapNode, segmentationNode, visibleSegmentIds)
slicer.mrmlScene.RemoveNode(sourceVolumeNode)
slicer.mrmlScene.RemoveNode(mergedLabelmapNode)
qt.QApplication.restoreOverrideCursor()
def smoothMultipleSegments(self, maskImage=None, maskExtent=None):
import vtkSegmentationCorePython as vtkSegmentationCore
self.showStatusMessage(f'Joint smoothing ...')
# Generate merged labelmap of all visible segments
segmentationNode = self.scriptedEffect.parameterSetNode(
).GetSegmentationNode()
visibleSegmentIds = vtk.vtkStringArray()
segmentationNode.GetDisplayNode().GetVisibleSegmentIDs(
visibleSegmentIds)
if visibleSegmentIds.GetNumberOfValues() == 0:
logging.info(
"Smoothing operation skipped: there are no visible segments")
return
mergedImage = slicer.vtkOrientedImageData()
if not segmentationNode.GenerateMergedLabelmapForAllSegments(
mergedImage, vtkSegmentationCore.vtkSegmentation.
EXTENT_UNION_OF_SEGMENTS_PADDED, None, visibleSegmentIds):
logging.error(
'Failed to apply smoothing: cannot get list of visible segments'
)
return
segmentLabelValues = [] # list of [segmentId, labelValue]
for i in range(visibleSegmentIds.GetNumberOfValues()):
segmentId = visibleSegmentIds.GetValue(i)
segmentLabelValues.append([segmentId, i + 1])
# Perform smoothing in voxel space
ici = vtk.vtkImageChangeInformation()
ici.SetInputData(mergedImage)
ici.SetOutputSpacing(1, 1, 1)
ici.SetOutputOrigin(0, 0, 0)
# Convert labelmap to combined polydata
# vtkDiscreteFlyingEdges3D cannot be used here, as in the output of that filter,
# each labeled region is completely disconnected from neighboring regions, and
# for joint smoothing it is essential for the points to move together.
convertToPolyData = vtk.vtkDiscreteMarchingCubes()
convertToPolyData.SetInputConnection(ici.GetOutputPort())
convertToPolyData.SetNumberOfContours(len(segmentLabelValues))
contourIndex = 0
for segmentId, labelValue in segmentLabelValues:
convertToPolyData.SetValue(contourIndex, labelValue)
contourIndex += 1
# Low-pass filtering using Taubin's method
smoothingFactor = self.scriptedEffect.doubleParameter(
"JointTaubinSmoothingFactor")
smoothingIterations = 100 # according to VTK documentation 10-20 iterations could be enough but we use a higher value to reduce chance of shrinking
passBand = pow(
10.0, -4.0 * smoothingFactor
) # gives a nice range of 1-0.0001 from a user input of 0-1
smoother = vtk.vtkWindowedSincPolyDataFilter()
smoother.SetInputConnection(convertToPolyData.GetOutputPort())
smoother.SetNumberOfIterations(smoothingIterations)
smoother.BoundarySmoothingOff()
smoother.FeatureEdgeSmoothingOff()
smoother.SetFeatureAngle(90.0)
smoother.SetPassBand(passBand)
smoother.NonManifoldSmoothingOn()
smoother.NormalizeCoordinatesOn()
# Extract a label
threshold = vtk.vtkThreshold()
threshold.SetInputConnection(smoother.GetOutputPort())
# Convert to polydata
geometryFilter = vtk.vtkGeometryFilter()
geometryFilter.SetInputConnection(threshold.GetOutputPort())
# Convert polydata to stencil
polyDataToImageStencil = vtk.vtkPolyDataToImageStencil()
polyDataToImageStencil.SetInputConnection(
geometryFilter.GetOutputPort())
polyDataToImageStencil.SetOutputSpacing(1, 1, 1)
polyDataToImageStencil.SetOutputOrigin(0, 0, 0)
polyDataToImageStencil.SetOutputWholeExtent(mergedImage.GetExtent())
# Convert stencil to image
stencil = vtk.vtkImageStencil()
emptyBinaryLabelMap = vtk.vtkImageData()
emptyBinaryLabelMap.SetExtent(mergedImage.GetExtent())
emptyBinaryLabelMap.AllocateScalars(vtk.VTK_UNSIGNED_CHAR, 1)
vtkSegmentationCore.vtkOrientedImageDataResample.FillImage(
emptyBinaryLabelMap, 0)
stencil.SetInputData(emptyBinaryLabelMap)
stencil.SetStencilConnection(polyDataToImageStencil.GetOutputPort())
stencil.ReverseStencilOn()
stencil.SetBackgroundValue(
1
) # General foreground value is 1 (background value because of reverse stencil)
imageToWorldMatrix = vtk.vtkMatrix4x4()
mergedImage.GetImageToWorldMatrix(imageToWorldMatrix)
# TODO: Temporarily setting the overwrite mode to OverwriteVisibleSegments is an approach that should be change once additional
# layer control options have been implemented. Users may wish to keep segments on separate layers, and not allow them to be separated/merged automatically.
# This effect could leverage those options once they have been implemented.
oldOverwriteMode = self.scriptedEffect.parameterSetNode(
).GetOverwriteMode()
self.scriptedEffect.parameterSetNode().SetOverwriteMode(
slicer.vtkMRMLSegmentEditorNode.OverwriteVisibleSegments)
for segmentId, labelValue in segmentLabelValues:
threshold.ThresholdBetween(labelValue, labelValue)
stencil.Update()
smoothedBinaryLabelMap = slicer.vtkOrientedImageData()
smoothedBinaryLabelMap.ShallowCopy(stencil.GetOutput())
smoothedBinaryLabelMap.SetImageToWorldMatrix(imageToWorldMatrix)
self.scriptedEffect.modifySegmentByLabelmap(
segmentationNode, segmentId, smoothedBinaryLabelMap,
slicer.qSlicerSegmentEditorAbstractEffect.ModificationModeSet,
False)
self.scriptedEffect.parameterSetNode().SetOverwriteMode(
oldOverwriteMode)
polydata = vtk.vtkPolyData()
polydata.SetPoints(points)
polydata.SetPolys(polygons)
polydata.GetCellData().SetScalars(numbers)
# write an XML file
# writer = vtk.vtkXMLPolyDataWriter()
# writer.SetFileName('sample.vtp')
# writer.SetInputData(polydata)
# writer.Write()
## ------------------- ##
# create a data field
df = vtk.vtkFieldData()
temperature = vtk.vtkStringArray()
temperature.SetName("Colors")
temperature.InsertNextValue("Red")
df.AddArray(temperature)
# add data field to polydata
polydata.SetFieldData(df)
## ------------------- ##
polydata.Modified()
# Write a vtk file
writer = vtk.vtkPolyDataWriter()
writer.SetFileName('sample.vtk')
writer.SetInputData(polydata)
def processInteractionEvents(self, callerInteractor, eventId, viewWidget):
import vtkSegmentationCorePython as vtkSegmentationCore
abortEvent = False
# Only allow in modes where segment selection is needed
if not self.currentOperationRequiresSegmentSelection():
return False
# Only allow for slice views
if viewWidget.className() != "qMRMLSliceWidget":
return abortEvent
if eventId != vtk.vtkCommand.LeftButtonPressEvent:
return abortEvent
abortEvent = True
# Generate merged labelmap of all visible segments
segmentationNode = self.scriptedEffect.parameterSetNode(
).GetSegmentationNode()
visibleSegmentIds = vtk.vtkStringArray()
segmentationNode.GetDisplayNode().GetVisibleSegmentIDs(
visibleSegmentIds)
if visibleSegmentIds.GetNumberOfValues() == 0:
logging.info(
"Smoothing operation skipped: there are no visible segments")
return abortEvent
self.scriptedEffect.saveStateForUndo()
# This can be a long operation - indicate it to the user
qt.QApplication.setOverrideCursor(qt.Qt.WaitCursor)
operationName = self.scriptedEffect.parameter("Operation")
if operationName == ADD_SELECTED_ISLAND:
inputLabelImage = vtkSegmentationCore.vtkOrientedImageData()
if not segmentationNode.GenerateMergedLabelmapForAllSegments(
inputLabelImage, vtkSegmentationCore.vtkSegmentation.
EXTENT_UNION_OF_SEGMENTS_PADDED, None, visibleSegmentIds):
logging.error(
'Failed to apply smoothing: cannot get list of visible segments'
)
qt.QApplication.restoreOverrideCursor()
return abortEvent
else:
selectedSegmentLabelmap = self.scriptedEffect.selectedSegmentLabelmap(
)
# We need to know exactly the value of the segment voxels, apply threshold to make force the selected label value
labelValue = 1
backgroundValue = 0
thresh = vtk.vtkImageThreshold()
thresh.SetInputData(selectedSegmentLabelmap)
thresh.ThresholdByLower(0)
thresh.SetInValue(backgroundValue)
thresh.SetOutValue(labelValue)
thresh.SetOutputScalarType(selectedSegmentLabelmap.GetScalarType())
thresh.Update()
# Create oriented image data from output
import vtkSegmentationCorePython as vtkSegmentationCore
inputLabelImage = vtkSegmentationCore.vtkOrientedImageData()
inputLabelImage.ShallowCopy(thresh.GetOutput())
selectedSegmentLabelmapImageToWorldMatrix = vtk.vtkMatrix4x4()
selectedSegmentLabelmap.GetImageToWorldMatrix(
selectedSegmentLabelmapImageToWorldMatrix)
inputLabelImage.SetImageToWorldMatrix(
selectedSegmentLabelmapImageToWorldMatrix)
xy = callerInteractor.GetEventPosition()
ijk = self.xyToIjk(xy, viewWidget, inputLabelImage)
pixelValue = inputLabelImage.GetScalarComponentAsFloat(
ijk[0], ijk[1], ijk[2], 0)
try:
floodFillingFilter = vtk.vtkImageThresholdConnectivity()
floodFillingFilter.SetInputData(inputLabelImage)
seedPoints = vtk.vtkPoints()
origin = inputLabelImage.GetOrigin()
spacing = inputLabelImage.GetSpacing()
seedPoints.InsertNextPoint(origin[0] + ijk[0] * spacing[0],
origin[1] + ijk[1] * spacing[1],
origin[2] + ijk[2] * spacing[2])
floodFillingFilter.SetSeedPoints(seedPoints)
floodFillingFilter.ThresholdBetween(pixelValue, pixelValue)
if operationName == ADD_SELECTED_ISLAND:
floodFillingFilter.SetInValue(1)
floodFillingFilter.SetOutValue(0)
floodFillingFilter.Update()
modifierLabelmap = self.scriptedEffect.defaultModifierLabelmap(
)
modifierLabelmap.DeepCopy(floodFillingFilter.GetOutput())
self.scriptedEffect.modifySelectedSegmentByLabelmap(
modifierLabelmap, slicer.
qSlicerSegmentEditorAbstractEffect.ModificationModeAdd)
elif pixelValue != 0: # if clicked on empty part then there is nothing to remove or keep
if operationName == KEEP_SELECTED_ISLAND:
floodFillingFilter.SetInValue(1)
floodFillingFilter.SetOutValue(0)
else: # operationName == REMOVE_SELECTED_ISLAND:
floodFillingFilter.SetInValue(1)
floodFillingFilter.SetOutValue(0)
floodFillingFilter.Update()
modifierLabelmap = self.scriptedEffect.defaultModifierLabelmap(
)
modifierLabelmap.DeepCopy(floodFillingFilter.GetOutput())
if operationName == KEEP_SELECTED_ISLAND:
self.scriptedEffect.modifySelectedSegmentByLabelmap(
modifierLabelmap, slicer.
qSlicerSegmentEditorAbstractEffect.ModificationModeSet)
else: # operationName == REMOVE_SELECTED_ISLAND:
self.scriptedEffect.modifySelectedSegmentByLabelmap(
modifierLabelmap,
slicer.qSlicerSegmentEditorAbstractEffect.
ModificationModeRemove)
except IndexError:
logging.error('apply: Failed to threshold master volume!')
finally:
qt.QApplication.restoreOverrideCursor()
return abortEvent
# write to the temp directory if possible, otherwise use .
#
dir = "."
if (info.commands(globals(), locals(), "rtTester") == "rtTester"):
dir = rtTester.GetTempDirectory()
pass
# create some random points in a sphere
#
sphere1 = vtk.vtkPointSource()
sphere1.SetNumberOfPoints(13)
xform = vtk.vtkTransform()
xform.RotateWXYZ(20, 1, 0, 0)
xformFilter = vtk.vtkTransformFilter()
xformFilter.SetTransform(xform)
xformFilter.SetInputConnection(sphere1.GetOutputPort())
labels = vtk.vtkStringArray()
labels.InsertNextValue("0")
labels.InsertNextValue("1")
labels.InsertNextValue("2")
labels.InsertNextValue("3")
labels.InsertNextValue("Halifax")
labels.InsertNextValue("Toronto")
labels.InsertNextValue("Vancouver")
labels.InsertNextValue("Larry")
labels.InsertNextValue("Bob")
labels.InsertNextValue("Jackie")
labels.InsertNextValue("10")
labels.InsertNextValue("11")
labels.InsertNextValue("12")
weights = vtk.vtkDoubleArray()
weights.InsertNextValue(1.0)
def onApply(self):
inputVolume = self.getInputVolume()
segmentID = self.scriptedEffect.parameterSetNode(
).GetSelectedSegmentID()
segmentationNode = self.scriptedEffect.parameterSetNode(
).GetSegmentationNode()
volumesLogic = slicer.modules.volumes.logic()
scene = inputVolume.GetScene()
padExtent = [
-self.pad.value, self.pad.value, -self.pad.value, self.pad.value,
-self.pad.value, self.pad.value
]
#iterate over segments
for segmentIndex in range(
segmentationNode.GetSegmentation().GetNumberOfSegments()):
segmentID = segmentationNode.GetSegmentation().GetNthSegmentID(
segmentIndex)
segmentIDs = vtk.vtkStringArray()
segmentIDs.InsertNextValue(segmentID)
# create volume for output
outputVolumeName = inputVolume.GetName() + '_' + segmentID
outputVolume = volumesLogic.CloneVolumeGeneric(
scene, inputVolume, outputVolumeName, False)
# crop segment
slicer.app.setOverrideCursor(qt.Qt.WaitCursor)
import SegmentEditorMaskVolumeLib
SegmentEditorMaskVolumeLib.SegmentEditorEffect.maskVolumeWithSegment(
self, segmentationNode, segmentID, "FILL_OUTSIDE", [0],
inputVolume, outputVolume)
#calculate extent of masked image
pt = [-16.87524999999998, 19.68725000000002, 16.80000000000001, 1]
rasToIjk = vtk.vtkMatrix4x4()
outputVolume.GetRASToIJKMatrix(rasToIjk)
print(rasToIjk.MultiplyPoint(pt))
ijkToRas = vtk.vtkMatrix4x4()
outputVolume.GetIJKToRASMatrix(ijkToRas)
print(ijkToRas.MultiplyPoint(pt))
cropThreshold = 0
img = slicer.modules.segmentations.logic(
).CreateOrientedImageDataFromVolumeNode(outputVolume)
img.UnRegister(None)
extent = [0, 0, 0, 0, 0, 0]
vtkSegmentationCore.vtkOrientedImageDataResample.CalculateEffectiveExtent(
img, extent, cropThreshold)
# pad and crop
cropFilter = vtk.vtkImageConstantPad()
cropFilter.SetInputData(outputVolume.GetImageData())
cropFilter.SetConstant(self.fillValue.value)
cropFilter.SetOutputWholeExtent(extent)
cropFilter.Update()
padFilter = vtk.vtkImageConstantPad()
padFilter.SetInputData(cropFilter.GetOutput())
padFilter.SetConstant(self.fillValue.value)
for i in range(len(extent)):
extent[i] = extent[i] + padExtent[i]
padFilter.SetOutputWholeExtent(extent)
padFilter.Update()
outputVolume.SetAndObserveImageData(padFilter.GetOutput())
qt.QApplication.restoreOverrideCursor()
import os
import numpy as np
import natsort
import vtk
import sys
dataPath = sys.argv[1]
outputfile = sys.argv[2]
for dirName, subDir, fileList in os.walk(dataPath):
pass
index = natsort.index_natsorted(fileList)
fileList = natsort.order_by_index(fileList, index)
stringArray = vtk.vtkStringArray()
for i, fileName in enumerate(fileList):
stringArray.InsertNextValue(fileName)
reader = vtk.vtkDICOMImageReader()
reader.SetDirectoryName(dataPath)
reader.SetFileNames(stringArray)
writer = vtk.vtkMetaImageWriter()
writer.SetInputConnection(reader.GetOutputPort())
writer.SetFileName(outputfile + '.mhd')
writer.Write()
def to_vtk(bdf):
# type: (BDF) -> VTKData
import vtk
# TODO: use pynastran numpy_to_vtk
from vtk.util.numpy_support import numpy_to_vtk
nid_list = []
nid_dict = {}
node_pos = np.empty((len(bdf.nodes), 3), dtype=np.float64)
i = 0
for node in itervalues(bdf.nodes):
node_pos[i] = node.get_position()
nid = node.nid
nid_list.append(nid)
nid_dict[nid] = i
i += 1
_points = vtk.vtkPoints()
_points.SetData(numpy_to_vtk(node_pos))
points = vtk.vtkPoints()
points.DeepCopy(_points)
cells = []
cell_types = []
cell_count = 0
elem_types = []
eid_list = []
eid_dict = {}
_nastran_to_vtk = nastran_to_vtk
bdf_data_to_plot = chain(itervalues(bdf.nodes), itervalues(bdf.elements),
itervalues(bdf.rigid_elements))
category_list = []
for elem in bdf_data_to_plot:
elem_type = elem.type
cell_type, add_method, category = _nastran_to_vtk.get(
elem_type, (None, None, None))
if cell_type is None:
continue
cell_types.append(cell_type)
elem_types.append(elem_type)
eid = add_method(elem, cells, nid_dict) # returns element/grid id
eid_list.append(eid)
eid_dict[eid] = cell_count
category_list.append(categories[category])
cell_count += 1
cells = np.array(cells, dtype=np.int64)
id_array = vtk.vtkIdTypeArray()
id_array.SetVoidArray(cells, len(cells), 1)
vtk_cells = vtk.vtkCellArray()
vtk_cells.SetCells(cell_count, id_array)
cell_types = np.array(cell_types, 'B')
vtk_cell_types = numpy_to_vtk(cell_types)
cell_locations = np.array([i for i in range(cell_count)])
vtk_cell_locations = numpy_to_vtk(cell_locations,
deep=1,
array_type=vtk.VTK_ID_TYPE)
ugrid = vtk.vtkUnstructuredGrid()
ugrid.SetPoints(points)
ugrid.SetCells(vtk_cell_types, vtk_cell_locations, vtk_cells)
vtk_cell_locations.SetName('index')
ugrid.GetCellData().AddArray(vtk_cell_locations)
_elem_types = vtk.vtkStringArray()
_elem_types.SetName('element_type')
_elem_types.SetNumberOfValues(len(elem_types))
for i in range(len(elem_types)):
_elem_types.SetValue(i, elem_types[i])
ugrid.GetCellData().AddArray(_elem_types)
_cat_arr = np.array(category_list, dtype=np.int64)
_cat = vtk.vtkIdTypeArray()
_cat.SetNumberOfValues(len(category_list))
_cat.SetVoidArray(_cat_arr, len(_cat_arr), 1)
_cat.SetName('category')
ugrid.GetCellData().AddArray(_cat)
id_array = numpy_to_vtk(np.array(eid_list),
deep=1,
array_type=vtk.VTK_ID_TYPE)
# id_array = vtk.vtkIdTypeArray()
# id_array.SetVoidArray(eid_list, len(eid_list), 1)
id_array.SetName('element_id')
ugrid.GetCellData().AddArray(id_array)
copy = vtk.vtkUnstructuredGrid()
copy.DeepCopy(ugrid)
vtk_data = VTKData(copy, nid_list, nid_dict, eid_list, eid_dict)
return vtk_data
def Execute(self):
if not self.Network:
self.Network = vtk.vtkPolyData()
networkPoints = vtk.vtkPoints()
networkLines = vtk.vtkCellArray()
radiusArray = vtk.vtkDoubleArray()
radiusArray.SetName(self.RadiusArrayName)
self.Network.SetPoints(networkPoints)
self.Network.SetLines(networkLines)
self.Network.GetPointData().AddArray(radiusArray)
if not self.vmtkRenderer:
self.vmtkRenderer = vmtkrenderer.vmtkRenderer()
self.vmtkRenderer.Initialize()
self.OwnRenderer = 1
self.vmtkRenderer.ExitAfterTextInputMode = False
self.vmtkRenderer.RegisterScript(self)
if self.Image and (not self.PlaneWidgetX or not self.PlaneWidgetY or not self.PlaneWidgetZ):
imageViewer = vmtkimageviewer.vmtkImageViewer()
imageViewer.Image = self.Image
imageViewer.vmtkRenderer = self.vmtkRenderer
imageViewer.Display = 0
imageViewer.Execute()
self.PlaneWidgetX = imageViewer.PlaneWidgetX
self.PlaneWidgetY = imageViewer.PlaneWidgetY
self.PlaneWidgetZ = imageViewer.PlaneWidgetZ
if self.Image:
spacing = self.Image.GetSpacing()
self.CurrentRadius = min(spacing)
if self.UseActiveTubes and not self.FeatureImage:
imageFeatures = vmtkimagefeatures.vmtkImageFeatures()
imageFeatures.Image = self.Image
imageFeatures.FeatureImageType = 'vtkgradient'
imageFeatures.Execute()
self.FeatureImage = imageFeatures.FeatureImage
self.NetworkRadiusArray = self.Network.GetPointData().GetArray(self.RadiusArrayName)
self.Network.GetPointData().SetActiveScalars(self.RadiusArrayName)
networkMapper = vtk.vtkPolyDataMapper()
networkMapper.SetInputData(self.Network)
networkMapper.SetScalarModeToUseCellData()
self.NetworkActor = vtk.vtkActor()
self.NetworkActor.SetMapper(networkMapper)
self.vmtkRenderer.Renderer.AddActor(self.NetworkActor)
self.NetworkTube = vtk.vtkTubeFilter()
self.NetworkTube.SetInputData(self.Network)
self.NetworkTube.SetVaryRadiusToVaryRadiusByAbsoluteScalar()
self.NetworkTube.SetNumberOfSides(20)
networkTubeMapper = vtk.vtkPolyDataMapper()
networkTubeMapper.SetInputConnection(self.NetworkTube.GetOutputPort())
networkTubeMapper.ScalarVisibilityOff()
networkTubeActor = vtk.vtkActor()
networkTubeActor.SetMapper(networkTubeMapper)
networkTubeActor.PickableOff()
networkTubeActor.GetProperty().SetOpacity(0.2)
self.vmtkRenderer.Renderer.AddActor(networkTubeActor)
self.Selection = vtk.vtkPolyData()
self.SelectionPoints = vtk.vtkPoints()
self.SelectionRadiusArray = vtk.vtkDoubleArray()
self.SelectionRadiusArray.SetName(self.RadiusArrayName)
self.Selection.SetPoints(self.SelectionPoints)
self.Selection.GetPointData().AddArray(self.SelectionRadiusArray)
self.Selection.GetPointData().SetActiveScalars(self.RadiusArrayName)
glyphs = vtk.vtkGlyph3D()
glyphSource = vtk.vtkSphereSource()
glyphSource.SetRadius(1.0)
glyphSource.SetThetaResolution(20)
glyphSource.SetPhiResolution(20)
glyphs.SetInputData(self.Selection)
glyphs.SetSourceConnection(glyphSource.GetOutputPort())
glyphs.SetScaleModeToScaleByScalar()
glyphs.SetScaleFactor(1.0)
selectionMapper = vtk.vtkPolyDataMapper()
selectionMapper.SetInputConnection(glyphs.GetOutputPort())
self.SelectionActor = vtk.vtkActor()
self.SelectionActor.SetMapper(selectionMapper)
self.SelectionActor.GetProperty().SetColor(1.0,0.0,0.0)
self.SelectionActor.GetProperty().SetOpacity(0.5)
self.SelectionActor.PickableOff()
self.vmtkRenderer.Renderer.AddActor(self.SelectionActor)
self.ActiveSegmentSeeds = vtk.vtkPolyData()
self.ActiveSegmentSeedsPoints = vtk.vtkPoints()
self.ActiveSegmentSeedsRadiusArray = vtk.vtkDoubleArray()
self.ActiveSegmentSeedsRadiusArray.SetName(self.RadiusArrayName)
self.ActiveSegmentSeeds.SetPoints(self.ActiveSegmentSeedsPoints)
self.ActiveSegmentSeeds.GetPointData().AddArray(self.ActiveSegmentSeedsRadiusArray)
self.ActiveSegmentSeeds.GetPointData().SetActiveScalars(self.RadiusArrayName)
activeSegmentSeedsGlyphs = vtk.vtkGlyph3D()
activeSegmentSeedsGlyphSource = vtk.vtkSphereSource()
activeSegmentSeedsGlyphSource.SetRadius(1.0)
activeSegmentSeedsGlyphSource.SetThetaResolution(20)
activeSegmentSeedsGlyphSource.SetPhiResolution(20)
activeSegmentSeedsGlyphs.SetInputData(self.ActiveSegmentSeeds)
activeSegmentSeedsGlyphs.SetSourceConnection(activeSegmentSeedsGlyphSource.GetOutputPort())
activeSegmentSeedsGlyphs.SetScaleModeToScaleByScalar()
activeSegmentSeedsGlyphs.SetScaleFactor(1.0)
activeSegmentSeedsMapper = vtk.vtkPolyDataMapper()
activeSegmentSeedsMapper.SetInputConnection(activeSegmentSeedsGlyphs.GetOutputPort())
activeSegmentSeedsMapper.ScalarVisibilityOff()
self.ActiveSegmentSeedsActor = vtk.vtkActor()
self.ActiveSegmentSeedsActor.SetMapper(activeSegmentSeedsMapper)
self.ActiveSegmentSeedsActor.GetProperty().SetColor(1.0,0.0,0.0)
self.ActiveSegmentSeedsActor.GetProperty().SetOpacity(0.5)
self.ActiveSegmentSeedsActor.PickableOff()
self.vmtkRenderer.Renderer.AddActor(self.ActiveSegmentSeedsActor)
self.ActiveSegment = vtk.vtkPolyData()
self.ActiveSegmentPoints = vtk.vtkPoints()
self.ActiveSegmentCellArray = vtk.vtkCellArray()
self.ActiveSegmentRadiusArray = vtk.vtkDoubleArray()
self.ActiveSegmentRadiusArray.SetName(self.RadiusArrayName)
self.ActiveSegment.SetPoints(self.ActiveSegmentPoints)
self.ActiveSegment.SetLines(self.ActiveSegmentCellArray)
self.ActiveSegment.GetPointData().AddArray(self.ActiveSegmentRadiusArray)
self.ActiveSegment.GetPointData().SetActiveScalars(self.RadiusArrayName)
activeSegmentMapper = vtk.vtkPolyDataMapper()
activeSegmentMapper.ScalarVisibilityOff()
if self.SplineInterpolation and self.Image != None:
splineFilter = vtk.vtkSplineFilter()
splineFilter.SetInputData(self.ActiveSegment)
splineFilter.SetSubdivideToLength()
splineFilter.SetLength(2.0*min(self.Image.GetSpacing()))
activeSegmentMapper.SetInputConnection(splineFilter.GetOutputPort())
else:
activeSegmentMapper.SetInputData(self.ActiveSegment)
self.ActiveSegmentActor = vtk.vtkActor()
self.ActiveSegmentActor.SetMapper(activeSegmentMapper)
self.ActiveSegmentActor.GetProperty().SetColor(1.0,1.0,1.0)
self.ActiveSegmentActor.GetProperty().SetLineWidth(3.0)
self.ActiveSegmentActor.PickableOff()
self.vmtkRenderer.Renderer.AddActor(self.ActiveSegmentActor)
activeTube = vtk.vtkTubeFilter()
activeTube.SetInputConnection(activeSegmentMapper.GetInputPort())
activeTube.SetVaryRadiusToVaryRadiusByAbsoluteScalar()
activeTube.SetNumberOfSides(20)
activeTubeMapper = vtk.vtkPolyDataMapper()
activeTubeMapper.SetInputConnection(activeTube.GetOutputPort())
activeTubeMapper.ScalarVisibilityOff()
activeTubeActor = vtk.vtkActor()
activeTubeActor.SetMapper(activeTubeMapper)
activeTubeActor.PickableOff()
activeTubeActor.GetProperty().SetOpacity(0.6)
self.vmtkRenderer.Renderer.AddActor(activeTubeActor)
self.NetworkLabelsArray = vtk.vtkStringArray.SafeDownCast(self.Network.GetCellData().GetAbstractArray(self.LabelsArrayName))
if not self.NetworkLabelsArray:
self.NetworkLabelsArray = vtk.vtkStringArray()
self.NetworkLabelsArray.SetName(self.LabelsArrayName)
self.NetworkLabelsArray.SetNumberOfValues(self.Network.GetNumberOfCells())
for i in range(self.Network.GetNumberOfCells()):
self.NetworkLabelsArray.SetValue(i,'')
self.Network.GetCellData().AddArray(self.NetworkLabelsArray)
self.CellCenters = vtk.vtkCellCenters()
self.CellCenters.SetInputData(self.Network)
self.CellCenters.VertexCellsOff()
self.CellCenters.Update()
labeledMapper = vtk.vtkLabeledDataMapper()
labeledMapper.SetInputConnection(self.CellCenters.GetOutputPort())
labeledMapper.SetLabelModeToLabelFieldData()
labeledMapper.SetFieldDataName(self.LabelsArrayName)
labeledMapper.GetLabelTextProperty().SetFontFamilyToArial()
labeledMapper.GetLabelTextProperty().BoldOff()
labeledMapper.GetLabelTextProperty().ItalicOff()
labeledMapper.GetLabelTextProperty().ShadowOff()
self.LabelsActor = vtk.vtkActor2D()
self.LabelsActor.SetMapper(labeledMapper)
self.LabelsActor.VisibilityOff()
self.vmtkRenderer.Renderer.AddActor(self.LabelsActor)
self.CellPicker = vtk.vtkCellPicker()
self.CellPicker.SetTolerance(1E-2)
self.CellPicker.InitializePickList()
self.CellPicker.AddPickList(self.NetworkActor)
self.CellPicker.PickFromListOn()
self.vmtkRenderer.AddKeyBinding('a','Add mode.',self.AddCallback)
self.vmtkRenderer.AddKeyBinding('d','Delete mode.',self.DeleteCallback)
self.vmtkRenderer.AddKeyBinding('m','Merge mode.',self.MergeCallback)
self.vmtkRenderer.AddKeyBinding('s','Split mode.',self.SplitCallback)
self.vmtkRenderer.AddKeyBinding('l','Label mode.',self.LabelCallback)
self.vmtkRenderer.AddKeyBinding('Tab','Show labels.',self.ShowLabelCallback)
self.vmtkRenderer.RenderWindowInteractor.AddObserver("KeyReleaseEvent", self.KeyReleaseCallback)
self.vmtkRenderer.RenderWindowInteractor.AddObserver("LeftButtonPressEvent", self.LeftButtonPressCallback)
self.vmtkRenderer.RenderWindowInteractor.AddObserver("MouseMoveEvent", self.MouseMoveCallback)
if self.PlaneWidgetX:
self.PlaneWidgetX.UseContinuousCursorOn()
self.PlaneWidgetX.AddObserver("StartInteractionEvent", self.PlaneStartInteractionCallback)
if self.PlaneWidgetY:
self.PlaneWidgetY.UseContinuousCursorOn()
self.PlaneWidgetY.AddObserver("StartInteractionEvent", self.PlaneStartInteractionCallback)
if self.PlaneWidgetZ:
self.PlaneWidgetZ.UseContinuousCursorOn()
self.PlaneWidgetZ.AddObserver("StartInteractionEvent", self.PlaneStartInteractionCallback)
self.FirstRender()
self.Surface = self.NetworkTube.GetOutput()
if self.OwnRenderer:
self.vmtkRenderer.Deallocate()
def run(self,
inputVolume,
directory,
exportlabelmaps=True,
exportOBJ=True,
medianFilter=True,
exportDICOM=True,
showResult=True):
"""
Run the processing algorithm.
Can be used without GUI widget.
:param inputVolume: volume to be segmented
:param exportOBJ: export to OBJ files
:param exportlabelmaps: export to labelmaps
:param medianFilter: Whether the medial filter is used for improving the segmentation
:param exportDICOM: Whether the isotropic volume is exported as a DICOM series
:param showResult: show output volume in slice viewers
"""
if not inputVolume:
raise ValueError("Input volume is invalid")
logging.info('Processing started')
# Perform the temporal bone autosegmentation
InputVolume: inputVolume.GetID()
spacing = inputVolume.GetSpacing()[2]
# resample
if spacing <= 0.25:
parameters = {
"outputPixelSpacing": "0.25,0.25,0.25",
"InputVolume": inputVolume,
"interpolationType": 'linear',
"OutputVolume": inputVolume
}
slicer.cli.runSync(slicer.modules.resamplescalarvolume, None,
parameters)
else:
parameters = {
"outputPixelSpacing": "0.25,0.25,0.25",
"InputVolume": inputVolume,
"interpolationType": 'bspline',
"OutputVolume": inputVolume
}
slicer.cli.runSync(slicer.modules.resamplescalarvolume, None,
parameters)
print('\nResampling...\n')
spacing = inputVolume.GetSpacing()[2]
volumeName = inputVolume.GetName()
# Create segmentation
segmentationNode = slicer.mrmlScene.AddNewNodeByClass(
"vtkMRMLSegmentationNode")
segmentationNode.CreateDefaultDisplayNodes() # only needed for display
segmentationNode.SetReferenceImageGeometryParameterFromVolumeNode(
inputVolume)
otic_capsule_segment = segmentationNode.GetSegmentation(
).AddEmptySegment("otic_capsule")
# Create segment editor to get access to effects
segmentEditorWidget = slicer.qMRMLSegmentEditorWidget()
segmentEditorWidget.setMRMLScene(slicer.mrmlScene)
segmentEditorNode = slicer.mrmlScene.AddNewNodeByClass(
"vtkMRMLSegmentEditorNode")
segmentEditorWidget.setMRMLSegmentEditorNode(segmentEditorNode)
segmentEditorWidget.setSegmentationNode(segmentationNode)
segmentEditorWidget.setMasterVolumeNode(inputVolume)
segmentationNode1 = slicer.mrmlScene.AddNewNodeByClass(
"vtkMRMLSegmentationNode")
segmentationNode1.CreateDefaultDisplayNodes(
) # only needed for display
segmentationNode1.SetReferenceImageGeometryParameterFromVolumeNode(
inputVolume)
# Create segment editor to get access to effects
segmentEditorWidget1 = slicer.qMRMLSegmentEditorWidget()
segmentEditorWidget1.setMRMLScene(slicer.mrmlScene)
segmentEditorNode1 = slicer.mrmlScene.AddNewNodeByClass(
"vtkMRMLSegmentEditorNode")
segmentEditorWidget1.setMRMLSegmentEditorNode(segmentEditorNode1)
segmentEditorWidget1.setSegmentationNode(segmentationNode1)
segmentEditorWidget1.setMasterVolumeNode(inputVolume)
## Autosegmentation of the otic capsule
# NVIDIA auto segmentation
segmentEditorWidget.setActiveEffectByName("Nvidia AIAA")
effect = segmentEditorWidget.activeEffect()
serverUrl = "http://tbone.onthewifi.com:956/v1/models"
effect.self().ui.serverComboBox.currentText = serverUrl
effect.self().onClickFetchModels()
effect.self().ui.segmentationModelSelector.currentText = "inner_ear"
effect.self().onClickSegmentation()
inner_ear = segmentationNode.GetSegmentation(
).GetSegmentIdBySegmentName("inner_ear")
segmentEditorWidget.setCurrentSegmentID(inner_ear)
segmentationNode.GetSegmentation().GetSegment(inner_ear).SetColor(
1, 0, 0)
segmentationNode.GetSegmentation().GetSegment(
otic_capsule_segment).SetColor(0.89, 0.92, 0.65)
segmentEditorNode.SetMasterVolumeIntensityMaskRange(-300, 550)
#Turn mask range on
segmentEditorNode.MasterVolumeIntensityMaskOn()
#growing the membranous labyrinth
# Margin effect
segmentEditorWidget.setActiveEffectByName("Margin")
effect = segmentEditorWidget.activeEffect()
effect.setParameter("MarginSizeMm", 0.3)
effect.self().onApply()
segmentEditorWidget.setCurrentSegmentID('otic_capsule')
#Copying the inner ear segment to otic capsule
# Logical effect
segmentEditorWidget.setActiveEffectByName("Logical operators")
effect = segmentEditorWidget.activeEffect()
effect.setParameter("Operation", 'COPY')
effect.setParameter("ModifierSegmentID", inner_ear)
effect.setParameter("BypassMasking", 1)
effect.self().onApply()
# Define the Mask range for bony labyrinth
segmentEditorNode.SetMasterVolumeIntensityMaskRange(650, 2500)
#Turn mask range on
segmentEditorNode.MasterVolumeIntensityMaskOn()
#segmenting the otic capsule from the inner ear
# Margin effect
segmentEditorWidget.setActiveEffectByName("Margin")
effect = segmentEditorWidget.activeEffect()
effect.setParameter("MarginSizeMm", spacing * 5)
effect.self().onApply()
segmentEditorNode.MasterVolumeIntensityMaskOff()
# Islands effect
segmentEditorWidget.setActiveEffectByName("Islands")
effect = segmentEditorWidget.activeEffect()
effect.setParameter("Operation", 'KEEP_LARGEST_ISLAND')
effect.self().onApply()
#Make the inner ear not visible to export only the otic capsule
#segmentationNode.GetDisplayNode().SetSegmentVisibility(inner_ear, False)
#copy the inner ear segment to another segmentation Node
#segmentationNode1.GetSegmentation().CopySegmentFromSegmentation(segmentationNode.GetSegmentation(),inner_ear)
# Remove the inner ear to export only the otic capsule
segmentationNode.GetSegmentation().RemoveSegment(inner_ear)
if exportlabelmaps == True:
#Create labelmap for otic capsule and export the segment
oticcapsule_labelmap = slicer.mrmlScene.AddNewNodeByClass(
'vtkMRMLLabelMapVolumeNode')
oticcapsule_labelmap.SetName('oticcapsule_labelmap')
slicer.modules.segmentations.logic(
).ExportVisibleSegmentsToLabelmapNode(segmentationNode,
oticcapsule_labelmap,
inputVolume)
slicer.util.saveNode(oticcapsule_labelmap,
directory + '/oticcapsule_labelmap.nrrd')
if exportOBJ == True:
shNode = slicer.vtkMRMLSubjectHierarchyNode.GetSubjectHierarchyNode(
slicer.mrmlScene)
segnumber = shNode.GetItemByDataNode(segmentationNode)
shNode.SetItemName(segnumber, volumeName + '_otic capsule')
segmentIDs = vtk.vtkStringArray()
segmentationNode.GetSegmentation().GetSegmentIDs(segmentIDs)
slicer.modules.segmentations.logic(
).ExportSegmentsClosedSurfaceRepresentationToFiles(
directory, segmentationNode, segmentIDs, "OBJ", True, 1.0,
False)
#copy the otic capsule segment to another segmentation Node
segmentationNode1.GetSegmentation().CopySegmentFromSegmentation(
segmentationNode.GetSegmentation(), otic_capsule_segment)
# Remove the otic capsule after exporting
segmentationNode.GetSegmentation().RemoveSegment('otic_capsule')
# Autosegmentation of the ossicles
segmentEditorWidget.setActiveEffectByName("Nvidia AIAA")
effect = segmentEditorWidget.activeEffect()
effect.self().ui.segmentationModelSelector.currentText = 'ossicles'
effect.self().onClickSegmentation()
ossicles = segmentationNode.GetSegmentation(
).GetSegmentIdBySegmentName("ossicles")
segmentationNode.GetSegmentation().GetSegment(ossicles).SetColor(
1, 1, 0.88)
segmentEditorWidget.setCurrentSegmentID(ossicles)
# Islands effect
segmentEditorWidget.setActiveEffectByName("Islands")
effect = segmentEditorWidget.activeEffect()
effect.setParameter("Operation", 'REMOVE_SMALL_ISLANDS')
effect.setParameter("MinimumSize", 50)
effect.self().onApply()
if exportlabelmaps == True:
#Create labelmap for ossicles and export the segment
ossicles_labelmap = slicer.mrmlScene.AddNewNodeByClass(
'vtkMRMLLabelMapVolumeNode')
ossicles_labelmap.SetName('ossicles_labelmap')
slicer.modules.segmentations.logic(
).ExportVisibleSegmentsToLabelmapNode(segmentationNode,
ossicles_labelmap,
inputVolume)
slicer.util.saveNode(ossicles_labelmap,
directory + '/ossicles_labelmap.nrrd')
if exportOBJ == True:
shNode = slicer.vtkMRMLSubjectHierarchyNode.GetSubjectHierarchyNode(
slicer.mrmlScene)
segnumber = shNode.GetItemByDataNode(segmentationNode)
shNode.SetItemName(segnumber, volumeName + '_ossicles')
segmentIDs = vtk.vtkStringArray()
segmentationNode.GetSegmentation().GetSegmentIDs(segmentIDs)
slicer.modules.segmentations.logic(
).ExportSegmentsClosedSurfaceRepresentationToFiles(
directory, segmentationNode, segmentIDs, "OBJ", True, 1.0,
False)
#copy the ossicles segment to another segmentation Node
segmentationNode1.GetSegmentation().CopySegmentFromSegmentation(
segmentationNode.GetSegmentation(), ossicles)
# Remove the ossicles after exporting
segmentationNode.GetSegmentation().RemoveSegment(ossicles)
# Autosegmentation of Cochlear duct
segmentEditorWidget.setActiveEffectByName("Nvidia AIAA")
effect = segmentEditorWidget.activeEffect()
effect.self(
).ui.segmentationModelSelector.currentText = "cochlear_duct"
effect.self().onClickSegmentation()
cochlear_duct = segmentationNode.GetSegmentation(
).GetSegmentIdBySegmentName("cochlear_duct")
segmentEditorWidget.setCurrentSegmentID(cochlear_duct)
segmentationNode.GetSegmentation().GetSegment(cochlear_duct).SetColor(
1, 0, 0)
segmentEditorNode.SetMasterVolumeIntensityMaskRange(-410, 750)
#Turn mask range on
segmentEditorNode.MasterVolumeIntensityMaskOn()
#growing the membranous labyrinth
# Margin effect
segmentEditorWidget.setActiveEffectByName("Margin")
effect = segmentEditorWidget.activeEffect()
effect.setParameter("MarginSizeMm", 0.3)
effect.self().onApply()
if exportlabelmaps == True:
#Create labelmap for cochlear duct and export the segment
cochlear_duct_labelmap = slicer.mrmlScene.AddNewNodeByClass(
'vtkMRMLLabelMapVolumeNode')
cochlear_duct_labelmap.SetName('cochlear_duct_labelmap')
slicer.modules.segmentations.logic(
).ExportVisibleSegmentsToLabelmapNode(segmentationNode,
cochlear_duct_labelmap,
inputVolume)
slicer.util.saveNode(cochlear_duct_labelmap,
directory + '/cochlear_duct_labelmap.nrrd')
if exportOBJ == True:
shNode = slicer.vtkMRMLSubjectHierarchyNode.GetSubjectHierarchyNode(
slicer.mrmlScene)
segnumber = shNode.GetItemByDataNode(segmentationNode)
shNode.SetItemName(segnumber, volumeName + '_cochlear_duct')
segmentIDs = vtk.vtkStringArray()
segmentationNode.GetSegmentation().GetSegmentIDs(segmentIDs)
slicer.modules.segmentations.logic(
).ExportSegmentsClosedSurfaceRepresentationToFiles(
directory, segmentationNode, segmentIDs, "OBJ", True, 1.0,
False)
#copy the cochlear_duct segment to another segmentation Node
segmentationNode1.GetSegmentation().CopySegmentFromSegmentation(
segmentationNode.GetSegmentation(), cochlear_duct)
# Remove the cochlear_duct after exporting
segmentationNode.GetSegmentation().RemoveSegment(cochlear_duct)
if medianFilter == True:
volumesLogic = slicer.modules.volumes.logic()
median = volumesLogic.CloneVolume(slicer.mrmlScene, inputVolume,
'Volume_median_filter')
parameters = {
"neighborhood": "1,1,1",
"inputVolume": inputVolume,
"outputVolume": median
}
slicer.cli.runSync(slicer.modules.medianimagefilter, None,
parameters)
segmentationNode.SetReferenceImageGeometryParameterFromVolumeNode(
median)
segmentEditorWidget.setMasterVolumeNode(median)
# Autosegmentation of Facial Nerve
segmentEditorWidget.setActiveEffectByName("Nvidia AIAA")
effect = segmentEditorWidget.activeEffect()
effect.self().ui.segmentationModelSelector.currentText = 'facial_nerve'
effect.self().onClickSegmentation()
facial_nerve = segmentationNode.GetSegmentation(
).GetSegmentIdBySegmentName("facial_nerve")
segmentationNode.GetSegmentation().GetSegment(facial_nerve).SetColor(
0.9, 1, 0)
if exportlabelmaps == True:
#Create labelmap for facial nerve and export the segment
facial_labelmap = slicer.mrmlScene.AddNewNodeByClass(
'vtkMRMLLabelMapVolumeNode')
slicer.modules.segmentations.logic(
).ExportVisibleSegmentsToLabelmapNode(segmentationNode,
facial_labelmap, inputVolume)
facial_labelmap.SetName('facial_labelmap')
slicer.util.saveNode(facial_labelmap,
directory + '/facial_labelmap.nrrd')
if exportOBJ == True:
shNode = slicer.vtkMRMLSubjectHierarchyNode.GetSubjectHierarchyNode(
slicer.mrmlScene)
segnumber = shNode.GetItemByDataNode(segmentationNode)
shNode.SetItemName(segnumber, volumeName + '_facial_nerve')
segmentIDs = vtk.vtkStringArray()
segmentationNode.GetSegmentation().GetSegmentIDs(segmentIDs)
slicer.modules.segmentations.logic(
).ExportSegmentsClosedSurfaceRepresentationToFiles(
directory, segmentationNode, segmentIDs, "OBJ", True, 1.0,
False)
#copy the facial nerve segment to another segmentation Node
segmentationNode1.GetSegmentation().CopySegmentFromSegmentation(
segmentationNode.GetSegmentation(), facial_nerve)
# Remove the facial_nerve after exporting
segmentationNode.GetSegmentation().RemoveSegment(facial_nerve)
# Autosegmentation of Sigmoid sinus
segmentEditorWidget.setActiveEffectByName("Nvidia AIAA")
effect = segmentEditorWidget.activeEffect()
effect.self(
).ui.segmentationModelSelector.currentText = 'sigmoid_sinus'
effect.self().onClickSegmentation()
sigmoid = segmentationNode.GetSegmentation().GetSegmentIdBySegmentName(
"sigmoid_sinus")
segmentEditorWidget.setCurrentSegmentID(sigmoid)
# Islands effect
segmentEditorWidget.setActiveEffectByName("Islands")
effect = segmentEditorWidget.activeEffect()
effect.setParameter("Operation", 'REMOVE_SMALL_ISLANDS')
effect.setParameter("MinimumSize", 500)
effect.self().onApply()
if exportlabelmaps == True:
# Create labelmap for sigmoid sinus and export the segment
sigmoid_labelmap = slicer.mrmlScene.AddNewNodeByClass(
'vtkMRMLLabelMapVolumeNode')
sigmoid_labelmap.SetName('sigmoid_labelmap')
slicer.modules.segmentations.logic(
).ExportVisibleSegmentsToLabelmapNode(segmentationNode,
sigmoid_labelmap,
inputVolume)
slicer.util.saveNode(sigmoid_labelmap,
directory + '/sigmoid_labelmap.nrrd')
if exportOBJ == True:
shNode = slicer.vtkMRMLSubjectHierarchyNode.GetSubjectHierarchyNode(
slicer.mrmlScene)
segnumber = shNode.GetItemByDataNode(segmentationNode)
shNode.SetItemName(segnumber, volumeName + '_sigmoid')
segmentIDs = vtk.vtkStringArray()
segmentationNode.GetSegmentation().GetSegmentIDs(segmentIDs)
slicer.modules.segmentations.logic(
).ExportSegmentsClosedSurfaceRepresentationToFiles(
directory, segmentationNode, segmentIDs, "OBJ", True, 1.0,
False)
#copy the sigmoid segment to another segmentation Node
segmentationNode1.GetSegmentation().CopySegmentFromSegmentation(
segmentationNode.GetSegmentation(), sigmoid)
# Remove the sigmoid after exporting
segmentationNode.GetSegmentation().RemoveSegment(sigmoid)
# Remove the empty segmentation node
slicer.mrmlScene.RemoveNode(segmentationNode)
# Export the isotropic volume as nrrd file
slicer.util.saveNode(inputVolume, directory + '/Volume.nrrd')
# Export the isotropic volume as a DICOM series
if exportDICOM == True:
from datetime import datetime
now = datetime.now()
patient = now.strftime("%b-%d-%Y_%H-%M-%S")
# Create patient and study and put the volume under the study
shNode = slicer.vtkMRMLSubjectHierarchyNode.GetSubjectHierarchyNode(
slicer.mrmlScene)
patientItemID = shNode.CreateSubjectItem(shNode.GetSceneItemID(),
patient)
studyItemID = shNode.CreateStudyItem(patientItemID,
"Auto-segmentation Study")
volumeShItemID = shNode.GetItemByDataNode(inputVolume)
shNode.SetItemParent(volumeShItemID, studyItemID)
import DICOMScalarVolumePlugin
exporter = DICOMScalarVolumePlugin.DICOMScalarVolumePluginClass()
exportables = exporter.examineForExport(volumeShItemID)
for exp in exportables:
exp.directory = directory
exporter.export(exportables)
# Make segmentation results visible in 3D
segmentationNode1.CreateClosedSurfaceRepresentation()
layoutManager = slicer.app.layoutManager()
threeDWidget = layoutManager.threeDWidget(0)
threeDView = threeDWidget.threeDView()
threeDView.resetFocalPoint()
# Remove volume
#slicer.mrmlScene.RemoveNode(median)
#saveNode(inputVolume, directory+'/inputVolume.nrrd')
#slicer.mrmlScene.RemoveNode(segmentationNode)
#print(path)
logging.info('Processing completed')
if opts.verbose: print "Performing Delaunay triangulation"
delaunay = vtk.vtkDelaunay2D()
delaunay.SetInput(only_valid_poly)
delaunay.Update()
if opts.verbose: print "Getting rid of unused points"
no_orphaned_points = vtk.vtkCleanPolyData()
no_orphaned_points.SetInput(delaunay.GetOutput())
no_orphaned_points.Update()
to_write = no_orphaned_points.GetOutput()
else:
to_write = bot_with_z
to_write.GetPointData().RemoveArray("vtkValidPointMask")
if opts.verbose: print "Adding provenance"
command_used = vtk.vtkStringArray()
command_used.SetName("provenance")
command_used.InsertNextValue(" ".join(sys.argv))
to_write.GetFieldData().AddArray(command_used)
if opts.verbose: print "Writing", vtp_out
writer = vtk.vtkXMLPolyDataWriter()
writer.SetFileName(vtp_out)
if opts.ascii:
writer.SetDataModeToAscii()
else:
writer.SetDataModeToBinary()
writer.SetInputConnection(to_write.GetProducerPort())
writer.Write()
sys.exit(0)
def CreateImageData(self, filelist, zspacing, size, bits):
message = _("Generating multiplanar visualization...")
if not const.VTK_WARNING:
log_path = os.path.join(const.LOG_FOLDER, 'vtkoutput.txt')
fow = vtk.vtkFileOutputWindow()
fow.SetFileName(log_path)
ow = vtk.vtkOutputWindow()
ow.SetInstance(fow)
x, y = size
px, py = utils.predict_memory(len(filelist), x, y, bits)
utils.debug("Image Resized to >>> %f x %f" % (px, py))
if (x == px) and (y == py):
const.REDUCE_IMAGEDATA_QUALITY = 0
else:
const.REDUCE_IMAGEDATA_QUALITY = 1
if not (const.REDUCE_IMAGEDATA_QUALITY):
update_progress = vtk_utils.ShowProgress(
1, dialog_type="ProgressDialog")
array = vtk.vtkStringArray()
for x in xrange(len(filelist)):
if not self.running:
return False
array.InsertValue(x, filelist[x])
if not self.running:
return False
reader = vtkgdcm.vtkGDCMImageReader()
reader.SetFileNames(array)
reader.AddObserver(
"ProgressEvent",
lambda obj, evt: update_progress(reader, message))
reader.Update()
if not self.running:
reader.AbortExecuteOn()
return False
# The zpacing is a DicomGroup property, so we need to set it
imagedata = vtk.vtkImageData()
imagedata.DeepCopy(reader.GetOutput())
spacing = imagedata.GetSpacing()
imagedata.SetSpacing(spacing[0], spacing[1], zspacing)
else:
update_progress = vtk_utils.ShowProgress(
2 * len(filelist), dialog_type="ProgressDialog")
# Reformat each slice and future append them
appender = vtk.vtkImageAppend()
appender.SetAppendAxis(2) #Define Stack in Z
# Reformat each slice
for x in xrange(len(filelist)):
# TODO: We need to check this automatically according
# to each computer's architecture
# If the resolution of the matrix is too large
if not self.running:
return False
reader = vtkgdcm.vtkGDCMImageReader()
reader.SetFileName(filelist[x])
reader.AddObserver(
"ProgressEvent",
lambda obj, evt: update_progress(reader, message))
reader.Update()
#Resample image in x,y dimension
slice_imagedata = ResampleImage2D(reader.GetOutput(), px, py,
update_progress)
#Stack images in Z axes
appender.AddInput(slice_imagedata)
#appender.AddObserver("ProgressEvent", lambda obj,evt:update_progress(appender))
appender.Update()
# The zpacing is a DicomGroup property, so we need to set it
if not self.running:
return False
imagedata = vtk.vtkImageData()
imagedata.DeepCopy(appender.GetOutput())
spacing = imagedata.GetSpacing()
imagedata.SetSpacing(spacing[0], spacing[1], zspacing)
imagedata.AddObserver(
"ProgressEvent",
lambda obj, evt: update_progress(imagedata, message))
imagedata.Update()
return imagedata
def testStackedPlot(self):
"Test if stacked plots can be built with python"
# Set up a 2D scene, add an XY chart to it
view = vtk.vtkContextView()
view.GetRenderer().SetBackground(1.0,1.0,1.0)
view.GetRenderWindow().SetSize(400,300)
chart = vtk.vtkChartXY()
view.GetScene().AddItem(chart)
# Create a table with some data in it
table = vtk.vtkTable()
arrMonthLabels = vtk.vtkStringArray()
arrMonthPositions = vtk.vtkDoubleArray()
arrMonth = vtk.vtkIntArray()
arrMonth.SetName("Month")
arrBooks = vtk.vtkIntArray()
arrBooks.SetName("Books")
arrNew = vtk.vtkIntArray()
arrNew.SetName("New / Popular")
arrPeriodical = vtk.vtkIntArray()
arrPeriodical.SetName("Periodical")
arrAudiobook = vtk.vtkIntArray()
arrAudiobook.SetName("Audiobook")
arrVideo = vtk.vtkIntArray()
arrVideo.SetName("Video")
numMonths = 12
for i in range(0,numMonths):
arrMonthLabels.InsertNextValue(month_labels[i])
arrMonthPositions.InsertNextValue(float(i))
arrMonth.InsertNextValue(i)
arrBooks.InsertNextValue(book[i])
arrNew.InsertNextValue(new_popular[i])
arrPeriodical.InsertNextValue(periodical[i])
arrAudiobook.InsertNextValue(audiobook[i])
arrVideo.InsertNextValue(video[i])
table.AddColumn(arrMonth)
table.AddColumn(arrBooks)
table.AddColumn(arrNew)
table.AddColumn(arrPeriodical)
table.AddColumn(arrAudiobook)
table.AddColumn(arrVideo)
# Set up the X Labels
chart.GetAxis(1).SetCustomTickPositions(arrMonthPositions, arrMonthLabels)
chart.GetAxis(1).SetMaximum(11)
chart.GetAxis(1).SetBehavior(vtk.vtkAxis.FIXED)
chart.SetShowLegend(True)
# Create the stacked plot
stack = chart.AddPlot(3)
stack.SetUseIndexForXSeries(True)
stack.SetInputData(table)
stack.SetInputArray(1,"Books")
stack.SetInputArray(2,"New / Popular")
stack.SetInputArray(3,"Periodical")
stack.SetInputArray(4,"Audiobook")
stack.SetInputArray(5,"Video")
# Set up a nice color series
colorSeries = vtk.vtkColorSeries()
colorSeries.SetColorScheme(2)
stack.SetColorSeries(colorSeries)
view.GetRenderWindow().SetMultiSamples(0)
view.GetRenderWindow().Render()
img_file = "TestStackedPlot.png"
vtk.test.Testing.compareImage(view.GetRenderWindow(),
vtk.test.Testing.getAbsImagePath(img_file),
threshold=25)
vtk.test.Testing.interact()
def preview(self):
# Get master volume image data
import vtkSegmentationCorePython as vtkSegmentationCore
masterImageData = self.scriptedEffect.masterVolumeImageData()
# Get segmentation
segmentationNode = self.scriptedEffect.parameterSetNode(
).GetSegmentationNode()
previewNode = self.getPreviewNode()
if not previewNode or not self.mergedLabelmapGeometryImage \
or (self.clippedMasterImageDataRequired and not self.clippedMasterImageData):
self.reset()
# Compute merged labelmap extent (effective extent slightly expanded)
self.selectedSegmentIds = vtk.vtkStringArray()
segmentationNode.GetDisplayNode().GetVisibleSegmentIDs(
self.selectedSegmentIds)
if self.selectedSegmentIds.GetNumberOfValues(
) < self.minimumNumberOfSegments:
logging.error(
"Auto-complete operation skipped: at least {0} visible segments are required"
.format(self.minimumNumberOfSegments))
return
if not self.mergedLabelmapGeometryImage:
self.mergedLabelmapGeometryImage = vtkSegmentationCore.vtkOrientedImageData(
)
commonGeometryString = segmentationNode.GetSegmentation(
).DetermineCommonLabelmapGeometry(
vtkSegmentationCore.vtkSegmentation.
EXTENT_UNION_OF_EFFECTIVE_SEGMENTS, self.selectedSegmentIds)
if not commonGeometryString:
logging.info(
"Auto-complete operation skipped: all visible segments are empty"
)
return
vtkSegmentationCore.vtkSegmentationConverter.DeserializeImageGeometry(
commonGeometryString, self.mergedLabelmapGeometryImage)
masterImageExtent = masterImageData.GetExtent()
labelsEffectiveExtent = self.mergedLabelmapGeometryImage.GetExtent(
)
margin = [17, 17, 17]
labelsExpandedExtent = [
max(masterImageExtent[0],
labelsEffectiveExtent[0] - margin[0]),
min(masterImageExtent[1],
labelsEffectiveExtent[1] + margin[0]),
max(masterImageExtent[2],
labelsEffectiveExtent[2] - margin[1]),
min(masterImageExtent[3],
labelsEffectiveExtent[3] + margin[1]),
max(masterImageExtent[4],
labelsEffectiveExtent[4] - margin[2]),
min(masterImageExtent[5], labelsEffectiveExtent[5] + margin[2])
]
self.mergedLabelmapGeometryImage.SetExtent(labelsExpandedExtent)
previewNode = slicer.mrmlScene.CreateNodeByClass(
'vtkMRMLSegmentationNode')
previewNode.UnRegister(None)
previewNode = slicer.mrmlScene.AddNode(previewNode)
previewNode.CreateDefaultDisplayNodes()
previewNode.GetDisplayNode().SetVisibility2DOutline(False)
if segmentationNode.GetParentTransformNode():
previewNode.SetAndObserveTransformNodeID(
segmentationNode.GetParentTransformNode().GetID())
self.scriptedEffect.parameterSetNode().SetNodeReferenceID(
ResultPreviewNodeReferenceRole, previewNode.GetID())
self.scriptedEffect.setCommonParameter(
"SegmentationResultPreviewOwnerEffect",
self.scriptedEffect.name)
self.setPreviewOpacity(0.6)
if self.clippedMasterImageDataRequired:
self.clippedMasterImageData = vtkSegmentationCore.vtkOrientedImageData(
)
masterImageClipper = vtk.vtkImageConstantPad()
masterImageClipper.SetInputData(masterImageData)
masterImageClipper.SetOutputWholeExtent(
self.mergedLabelmapGeometryImage.GetExtent())
masterImageClipper.Update()
self.clippedMasterImageData.ShallowCopy(
masterImageClipper.GetOutput())
self.clippedMasterImageData.CopyDirections(
self.mergedLabelmapGeometryImage)
previewNode.SetName(segmentationNode.GetName() + " preview")
mergedImage = vtkSegmentationCore.vtkOrientedImageData()
segmentationNode.GenerateMergedLabelmapForAllSegments(
mergedImage, vtkSegmentationCore.vtkSegmentation.
EXTENT_UNION_OF_EFFECTIVE_SEGMENTS,
self.mergedLabelmapGeometryImage, self.selectedSegmentIds)
outputLabelmap = vtkSegmentationCore.vtkOrientedImageData()
self.computePreviewLabelmap(mergedImage, outputLabelmap)
# Write output segmentation results in segments
for index in xrange(self.selectedSegmentIds.GetNumberOfValues()):
segmentID = self.selectedSegmentIds.GetValue(index)
segment = segmentationNode.GetSegmentation().GetSegment(segmentID)
# Disable save with scene?
# Get only the label of the current segment from the output image
thresh = vtk.vtkImageThreshold()
thresh.ReplaceInOn()
thresh.ReplaceOutOn()
thresh.SetInValue(1)
thresh.SetOutValue(0)
labelValue = index + 1 # n-th segment label value = n + 1 (background label value is 0)
thresh.ThresholdBetween(labelValue, labelValue)
thresh.SetOutputScalarType(vtk.VTK_UNSIGNED_CHAR)
thresh.SetInputData(outputLabelmap)
thresh.Update()
# Write label to segment
newSegmentLabelmap = vtkSegmentationCore.vtkOrientedImageData()
newSegmentLabelmap.ShallowCopy(thresh.GetOutput())
newSegmentLabelmap.CopyDirections(mergedImage)
newSegment = previewNode.GetSegmentation().GetSegment(segmentID)
if not newSegment:
newSegment = vtkSegmentationCore.vtkSegment()
newSegment.SetName(segment.GetName())
color = segmentationNode.GetSegmentation().GetSegment(
segmentID).GetColor()
newSegment.SetColor(color)
previewNode.GetSegmentation().AddSegment(newSegment, segmentID)
slicer.vtkSlicerSegmentationsModuleLogic.SetBinaryLabelmapToSegment(
newSegmentLabelmap, previewNode, segmentID)
self.updateGUIFromMRML()
def show_bounds(self,
mesh=None,
bounds=None,
show_xaxis=True,
show_yaxis=True,
show_zaxis=True,
show_xlabels=True,
show_ylabels=True,
show_zlabels=True,
italic=False,
bold=True,
shadow=False,
font_size=None,
font_family=None,
color=None,
xlabel='X Axis',
ylabel='Y Axis',
zlabel='Z Axis',
use_2d=False,
grid=None,
location='closest',
ticks=None,
all_edges=False,
corner_factor=0.5,
loc=None,
fmt=None,
minor_ticks=False,
padding=0.0):
"""Add bounds axes.
Shows the bounds of the most recent input mesh unless mesh is specified.
Parameters
----------
mesh : vtkPolydata or unstructured grid, optional
Input mesh to draw bounds axes around
bounds : list or tuple, optional
Bounds to override mesh bounds.
[xmin, xmax, ymin, ymax, zmin, zmax]
show_xaxis : bool, optional
Makes x axis visible. Default True.
show_yaxis : bool, optional
Makes y axis visible. Default True.
show_zaxis : bool, optional
Makes z axis visible. Default True.
show_xlabels : bool, optional
Shows x labels. Default True.
show_ylabels : bool, optional
Shows y labels. Default True.
show_zlabels : bool, optional
Shows z labels. Default True.
italic : bool, optional
Italicises axis labels and numbers. Default False.
bold : bool, optional
Bolds axis labels and numbers. Default True.
shadow : bool, optional
Adds a black shadow to the text. Default False.
font_size : float, optional
Sets the size of the label font. Defaults to 16.
font_family : string, optional
Font family. Must be either courier, times, or arial.
color : string or 3 item list, optional
Color of all labels and axis titles. Default white.
Either a string, rgb list, or hex color string. For example:
color='white'
color='w'
color=[1, 1, 1]
color='#FFFFFF'
xlabel : string, optional
Title of the x axis. Default "X Axis"
ylabel : string, optional
Title of the y axis. Default "Y Axis"
zlabel : string, optional
Title of the z axis. Default "Z Axis"
use_2d : bool, optional
A bug with vtk 6.3 in Windows seems to cause this function
to crash this can be enabled for smoother plotting for
other environments.
grid : bool or str, optional
Add grid lines to the backface (``True``, ``'back'``, or
``'backface'``) or to the frontface (``'front'``,
``'frontface'``) of the axes actor.
location : str, optional
Set how the axes are drawn: either static (``'all'``),
closest triad (``front``), furthest triad (``'back'``),
static closest to the origin (``'origin'``), or outer
edges (``'outer'``) in relation to the camera
position. Options include: ``'all', 'front', 'back',
'origin', 'outer'``
ticks : str, optional
Set how the ticks are drawn on the axes grid. Options include:
``'inside', 'outside', 'both'``
all_edges : bool, optional
Adds an unlabeled and unticked box at the boundaries of
plot. Useful for when wanting to plot outer grids while
still retaining all edges of the boundary.
corner_factor : float, optional
If ``all_edges````, this is the factor along each axis to
draw the default box. Dafuault is 0.5 to show the full box.
loc : int, tuple, or list
Index of the renderer to add the actor to. For example,
``loc=2`` or ``loc=(1, 1)``. If None, selects the last
active Renderer.
padding : float, optional
An optional percent padding along each axial direction to cushion
the datasets in the scene from the axes annotations. Defaults to
have no padding
Return
------
cube_axes_actor : vtk.vtkCubeAxesActor
Bounds actor
Examples
--------
>>> import pyvista
>>> from pyvista import examples
>>> mesh = pyvista.Sphere()
>>> plotter = pyvista.Plotter()
>>> _ = plotter.add_mesh(mesh)
>>> _ = plotter.show_bounds(grid='front', location='outer', all_edges=True)
>>> plotter.show() # doctest:+SKIP
"""
self.remove_bounds_axes()
if font_family is None:
font_family = rcParams['font']['family']
if font_size is None:
font_size = rcParams['font']['size']
if color is None:
color = rcParams['font']['color']
if fmt is None:
fmt = rcParams['font']['fmt']
color = parse_color(color)
# Use the bounds of all data in the rendering window
if mesh is None and bounds is None:
bounds = self.bounds
# create actor
cube_axes_actor = vtk.vtkCubeAxesActor()
if use_2d or not np.allclose(self.scale, [1.0, 1.0, 1.0]):
cube_axes_actor.SetUse2DMode(True)
else:
cube_axes_actor.SetUse2DMode(False)
if grid:
if isinstance(grid,
str) and grid.lower() in ('front', 'frontface'):
cube_axes_actor.SetGridLineLocation(
cube_axes_actor.VTK_GRID_LINES_CLOSEST)
if isinstance(grid, str) and grid.lower() in ('both', 'all'):
cube_axes_actor.SetGridLineLocation(
cube_axes_actor.VTK_GRID_LINES_ALL)
else:
cube_axes_actor.SetGridLineLocation(
cube_axes_actor.VTK_GRID_LINES_FURTHEST)
# Only show user desired grid lines
cube_axes_actor.SetDrawXGridlines(show_xaxis)
cube_axes_actor.SetDrawYGridlines(show_yaxis)
cube_axes_actor.SetDrawZGridlines(show_zaxis)
# Set the colors
cube_axes_actor.GetXAxesGridlinesProperty().SetColor(color)
cube_axes_actor.GetYAxesGridlinesProperty().SetColor(color)
cube_axes_actor.GetZAxesGridlinesProperty().SetColor(color)
if isinstance(ticks, str):
ticks = ticks.lower()
if ticks in ('inside'):
cube_axes_actor.SetTickLocationToInside()
elif ticks in ('outside'):
cube_axes_actor.SetTickLocationToOutside()
elif ticks in ('both'):
cube_axes_actor.SetTickLocationToBoth()
else:
raise ValueError(
'Value of ticks ({}) not understood.'.format(ticks))
if isinstance(location, str):
location = location.lower()
if location in ('all'):
cube_axes_actor.SetFlyModeToStaticEdges()
elif location in ('origin'):
cube_axes_actor.SetFlyModeToStaticTriad()
elif location in ('outer'):
cube_axes_actor.SetFlyModeToOuterEdges()
elif location in ('default', 'closest', 'front'):
cube_axes_actor.SetFlyModeToClosestTriad()
elif location in ('furthest', 'back'):
cube_axes_actor.SetFlyModeToFurthestTriad()
else:
raise ValueError(
'Value of location ({}) not understood.'.format(location))
# set bounds
if bounds is None:
bounds = np.array(mesh.GetBounds())
if isinstance(padding, (int, float)) and 0.0 <= padding < 1.0:
if not np.any(np.abs(bounds) == np.inf):
cushion = np.array([
np.abs(bounds[1] - bounds[0]),
np.abs(bounds[3] - bounds[2]),
np.abs(bounds[5] - bounds[4])
]) * padding
bounds[::2] -= cushion
bounds[1::2] += cushion
else:
raise ValueError(
'padding ({}) not understood. Must be float between 0 and 1'.
format(padding))
cube_axes_actor.SetBounds(bounds)
# show or hide axes
cube_axes_actor.SetXAxisVisibility(show_xaxis)
cube_axes_actor.SetYAxisVisibility(show_yaxis)
cube_axes_actor.SetZAxisVisibility(show_zaxis)
# disable minor ticks
if not minor_ticks:
cube_axes_actor.XAxisMinorTickVisibilityOff()
cube_axes_actor.YAxisMinorTickVisibilityOff()
cube_axes_actor.ZAxisMinorTickVisibilityOff()
cube_axes_actor.SetCamera(self.camera)
# set color
cube_axes_actor.GetXAxesLinesProperty().SetColor(color)
cube_axes_actor.GetYAxesLinesProperty().SetColor(color)
cube_axes_actor.GetZAxesLinesProperty().SetColor(color)
# empty arr
empty_str = vtk.vtkStringArray()
empty_str.InsertNextValue('')
# show lines
if show_xaxis:
cube_axes_actor.SetXTitle(xlabel)
else:
cube_axes_actor.SetXTitle('')
cube_axes_actor.SetAxisLabels(0, empty_str)
if show_yaxis:
cube_axes_actor.SetYTitle(ylabel)
else:
cube_axes_actor.SetYTitle('')
cube_axes_actor.SetAxisLabels(1, empty_str)
if show_zaxis:
cube_axes_actor.SetZTitle(zlabel)
else:
cube_axes_actor.SetZTitle('')
cube_axes_actor.SetAxisLabels(2, empty_str)
# show labels
if not show_xlabels:
cube_axes_actor.SetAxisLabels(0, empty_str)
if not show_ylabels:
cube_axes_actor.SetAxisLabels(1, empty_str)
if not show_zlabels:
cube_axes_actor.SetAxisLabels(2, empty_str)
# set font
font_family = parse_font_family(font_family)
for i in range(3):
cube_axes_actor.GetTitleTextProperty(i).SetFontSize(font_size)
cube_axes_actor.GetTitleTextProperty(i).SetColor(color)
cube_axes_actor.GetTitleTextProperty(i).SetFontFamily(font_family)
cube_axes_actor.GetTitleTextProperty(i).SetBold(bold)
cube_axes_actor.GetLabelTextProperty(i).SetFontSize(font_size)
cube_axes_actor.GetLabelTextProperty(i).SetColor(color)
cube_axes_actor.GetLabelTextProperty(i).SetFontFamily(font_family)
cube_axes_actor.GetLabelTextProperty(i).SetBold(bold)
self.add_actor(cube_axes_actor, reset_camera=False, pickable=False)
self.cube_axes_actor = cube_axes_actor
if all_edges:
self.add_bounding_box(color=color, corner_factor=corner_factor)
if fmt is not None:
cube_axes_actor.SetXLabelFormat(fmt)
cube_axes_actor.SetYLabelFormat(fmt)
cube_axes_actor.SetZLabelFormat(fmt)
return cube_axes_actor
def AddPointLabels(self, points, labels, bold=True, fontsize=16,
textcolor='k', font_family='courier', shadow=False,
showpoints=True, pointcolor='k', pointsize=5):
"""
Creates a point actor with one label from list labels assigned to
each point.
Parameters
----------
points : np.ndarray
3 x n numpy array of points.
labels : list
List of labels. Must be the same length as points.
italic : bool, optional
Italicises title and bar labels. Default False.
bold : bool, optional
Bolds title and bar labels. Default True
fontsize : float, optional
Sets the size of the title font. Defaults to 16.
textcolor : string or 3 item list, optional, defaults to black
Color of text.
Either a string, rgb list, or hex color string. For example:
textcolor='white'
textcolor='w'
textcolor=[1, 1, 1]
textcolor='#FFFFFF'
font_family : string, optional
Font family. Must be either courier, times, or arial.
shadow : bool, optional
Adds a black shadow to the text. Defaults to False
showpoints : bool, optional
Controls if points are visible. Default True
pointcolor : string or 3 item list, optional, defaults to black
Color of points (if visible).
Either a string, rgb list, or hex color string. For example:
textcolor='white'
textcolor='w'
textcolor=[1, 1, 1]
textcolor='#FFFFFF'
pointsize : float, optional
Size of points (if visible)
Returns
-------
labelMapper : vtk.vtkvtkLabeledDataMapper
VTK label mapper. Can be used to change properties of the labels.
"""
if len(points) != len(labels):
raise Exception('There must be one label for each point')
vtkpoints = vtkInterface.MakePointMesh(points)
vtklabels = vtk.vtkStringArray()
vtklabels.SetName('labels')
for item in labels:
vtklabels.InsertNextValue(str(item))
vtkpoints.GetPointData().AddArray(vtklabels)
# create label mapper
labelMapper = vtk.vtkLabeledDataMapper()
labelMapper.SetInputData(vtkpoints)
textprop = labelMapper.GetLabelTextProperty()
textprop.SetBold(bold)
textprop.SetFontSize(fontsize)
textprop.SetFontFamily(ParseFontFamily(font_family))
textprop.SetColor(ParseColor(textcolor))
textprop.SetShadow(shadow)
labelMapper.SetLabelModeToLabelFieldData()
labelMapper.SetFieldDataName('labels')
labelActor = vtk.vtkActor2D()
labelActor.SetMapper(labelMapper)
# add points
if showpoints:
self.AddMesh(vtkpoints, style='points', color=pointcolor,
psize=pointsize)
else:
self.AddMesh(vtkpoints)
self.AddActor(labelActor)
return labelMapper
def AddBoundsAxes(self, mesh=None, bounds=None, show_xaxis=True,
show_yaxis=True, show_zaxis=True, show_xlabels=True,
show_ylabels=True, show_zlabels=True, italic=False,
bold=True, shadow=False, fontsize=16,
font_family='courier', color='w',
xtitle='X Axis', ytitle='Y Axis', ztitle='Z Axis'):
"""
Adds bounds axes. Shows the bounds of the most recent input mesh
unless mesh is specified.
Parameters
----------
mesh : vtkPolydata or unstructured grid, optional
Input mesh to draw bounds axes around
bounds : list or tuple, optional
Bounds to override mesh bounds.
[xmin, xmax, ymin, ymax, zmin, zmax]
show_xaxis : bool, optional
Makes x axis visible. Default True.
show_yaxis : bool, optional
Makes y axis visible. Default True.
show_zaxis : bool, optional
Makes z axis visible. Default True.
show_xlabels : bool, optional
Shows x labels. Default True.
show_ylabels : bool, optional
Shows y labels. Default True.
show_zlabels : bool, optional
Shows z labels. Default True.
italic : bool, optional
Italicises axis labels and numbers. Default False.
bold : bool, optional
Bolds axis labels and numbers. Default True.
shadow : bool, optional
Adds a black shadow to the text. Default False.
fontsize : float, optional
Sets the size of the label font. Defaults to 16.
font_family : string, optional
Font family. Must be either courier, times, or arial.
color : string or 3 item list, optional
Color of all labels and axis titles. Default white.
Either a string, rgb list, or hex color string. For example:
color='white'
color='w'
color=[1, 1, 1]
color='#FFFFFF'
xtitle : string, optional
Title of the x axis. Default "X Axis"
ytitle : string, optional
Title of the y axis. Default "Y Axis"
ztitle : string, optional
Title of the z axis. Default "Z Axis"
Returns
-------
cubeAxesActor : vtk.vtkCubeAxesActor
Bounds actor
"""
# Use last input mesh if availble
if not mesh and not bounds:
if not hasattr(self, 'mesh'):
raise Exception('Specify bounds or first input a mesh')
mesh = self.mesh
# create actor
cubeAxesActor = vtk.vtkCubeAxesActor()
cubeAxesActor.SetUse2DMode(True)
# set bounds
if not bounds:
bounds = mesh.GetBounds()
cubeAxesActor.SetBounds(mesh.GetBounds())
# show or hide axes
cubeAxesActor.SetXAxisVisibility(show_xaxis)
cubeAxesActor.SetYAxisVisibility(show_yaxis)
cubeAxesActor.SetZAxisVisibility(show_zaxis)
# disable minor ticks
cubeAxesActor.XAxisMinorTickVisibilityOff();
cubeAxesActor.YAxisMinorTickVisibilityOff();
cubeAxesActor.ZAxisMinorTickVisibilityOff();
cubeAxesActor.SetCamera(self.ren.GetActiveCamera())
# set color
color = ParseColor(color)
cubeAxesActor.GetXAxesLinesProperty().SetColor(color)
cubeAxesActor.GetYAxesLinesProperty().SetColor(color)
cubeAxesActor.GetZAxesLinesProperty().SetColor(color)
# empty arr
empty_str = vtk.vtkStringArray()
empty_str.InsertNextValue('')
# show lines
if show_xaxis:
cubeAxesActor.SetXTitle(xtitle)
else:
cubeAxesActor.SetXTitle('')
cubeAxesActor.SetAxisLabels(0, empty_str)
if show_yaxis:
cubeAxesActor.SetYTitle(ytitle)
else:
cubeAxesActor.SetYTitle('')
cubeAxesActor.SetAxisLabels(1, empty_str)
if show_zaxis:
cubeAxesActor.SetZTitle(ztitle)
else:
cubeAxesActor.SetZTitle('')
cubeAxesActor.SetAxisLabels(2, empty_str)
# show labels
if not show_xlabels:
cubeAxesActor.SetAxisLabels(0, empty_str)
if not show_ylabels:
cubeAxesActor.SetAxisLabels(1, empty_str)
if not show_zlabels:
cubeAxesActor.SetAxisLabels(2, empty_str)
# set font
font_family = ParseFontFamily(font_family)
for i in range(3):
cubeAxesActor.GetTitleTextProperty(i).SetFontSize(fontsize)
cubeAxesActor.GetTitleTextProperty(i).SetColor(color)
cubeAxesActor.GetTitleTextProperty(i).SetFontFamily(font_family)
cubeAxesActor.GetTitleTextProperty(i).SetBold(bold)
cubeAxesActor.GetLabelTextProperty(i).SetFontSize(fontsize)
cubeAxesActor.GetLabelTextProperty(i).SetColor(color)
cubeAxesActor.GetLabelTextProperty(i).SetFontFamily(font_family)
cubeAxesActor.GetLabelTextProperty(i).SetBold(bold)
self.AddActor(cubeAxesActor)
self.cubeAxesActor = cubeAxesActor
return cubeAxesActor
