class CIP_CalciumScoringWidget(ScriptedLoadableModuleWidget):
def __init__(self, parent=None):
ScriptedLoadableModuleWidget.__init__(self, parent)
settings = qt.QSettings()
self.developerMode = SlicerUtil.IsDevelopment
if not parent:
self.parent = slicer.qMRMLWidget()
self.parent.setLayout(qt.QVBoxLayout())
self.parent.setMRMLScene(slicer.mrmlScene)
else:
self.parent = parent
self.layout = self.parent.layout()
if not parent:
self.setup()
self.parent.show()
self.priority = 2
self.calcificationType = 0
self.ThresholdMin = 130.0
self.ThresholdMax = 1000.0
self.MinimumLesionSize = 1
self.MaximumLesionSize = 500
self.croppedVolumeNode = slicer.vtkMRMLScalarVolumeNode()
self.threshImage = vtk.vtkImageData()
self.marchingCubes = vtk.vtkDiscreteMarchingCubes()
self.transformPolyData = vtk.vtkTransformPolyDataFilter()
self.selectedLabelList = []
self.labelScores = []
self.selectedLabels = {}
self.modelNodes = []
self.voxelVolume = 1.
self.sx = 1.
self.sy = 1.
self.sz = 1.
self.selectedRGB = [1,0,0]
self.observerTags = []
self.xy = []
self.summary_reports=["Agatston Score","Mass Score","Volume"]
self.labelScores = dict()
self.totalScores=dict()
for sr in self.summary_reports:
self.labelScores[sr]=[]
self.totalScores[sr]=0
self.columnsDict = OrderedDict()
self.columnsDict["CaseID"] = "CaseID"
for sr in self.summary_reports:
self.columnsDict[sr.replace(" ","")]=sr
def __del__(self):
for observee,tag in self.observerTags:
observee.RemoveObserver(tag)
self.observerTags = []
# def enter(self):
# print "Enter"
# def exit(self):
# print "Exit"
def setup(self):
# Instantiate and connect widgets ...
ScriptedLoadableModuleWidget.setup(self)
#self.logic = CIP_CalciumScoringLogic()
#
# Parameters Area
#
parametersCollapsibleButton = ctk.ctkCollapsibleButton()
parametersCollapsibleButton.text = "Parameters"
self.layout.addWidget(parametersCollapsibleButton)
# Layout within the dummy collapsible button
parametersFormLayout = qt.QFormLayout(parametersCollapsibleButton)
#
# target volume selector
#
self.inputSelector = slicer.qMRMLNodeComboBox()
self.inputSelector.nodeTypes = ( ("vtkMRMLScalarVolumeNode"), "" )
self.inputSelector.addEnabled = False
self.inputSelector.removeEnabled = False
self.inputSelector.noneEnabled = False
self.inputSelector.showHidden = False
self.inputSelector.showChildNodeTypes = False
self.inputSelector.setMRMLScene( slicer.mrmlScene )
self.inputSelector.setToolTip( "Pick the input to the algorithm." )
parametersFormLayout.addRow("Target Volume: ", self.inputSelector)
self.inputSelector.connect("currentNodeChanged(vtkMRMLNode*)", self.onVolumeChanged)
self.volumeNode = self.inputSelector.currentNode()
#
# calcification type
#
# self.calcificationTypeBox = qt.QComboBox()
# self.calcificationTypeBox.addItem("Heart")
# self.calcificationTypeBox.addItem("Aorta")
# parametersFormLayout.addRow("Region", self.calcificationTypeBox)
# self.calcificationTypeBox.connect("currentIndexChanged(int)", self.onTypeChanged)
self.ThresholdRange = ctk.ctkRangeWidget()
self.ThresholdRange.minimum = 0
self.ThresholdRange.maximum = 2000
self.ThresholdRange.setMinimumValue(self.ThresholdMin)
self.ThresholdRange.setMaximumValue(self.ThresholdMax)
self.ThresholdRange.connect("minimumValueChanged(double)", self.onThresholdMinChanged)
self.ThresholdRange.connect("maximumValueChanged(double)", self.onThresholdMaxChanged)
parametersFormLayout.addRow("Threshold Value", self.ThresholdRange)
self.ThresholdRange.setMinimumValue(self.ThresholdMin)
self.ThresholdRange.setMaximumValue(self.ThresholdMax)
self.LesionSizeRange= ctk.ctkRangeWidget()
self.LesionSizeRange.minimum = 0.5
self.LesionSizeRange.maximum = 1000
self.LesionSizeRange.setMinimumValue(self.MinimumLesionSize)
self.LesionSizeRange.setMaximumValue(self.MaximumLesionSize)
self.LesionSizeRange.connect("minimumValueChanged(double)", self.onMinSizeChanged)
self.LesionSizeRange.connect("maximumValueChanged(double)", self.onMaxSizeChanged)
parametersFormLayout.addRow("Lesion Size (mm^3)", self.LesionSizeRange)
self.LesionSizeRange.setMinimumValue(self.MinimumLesionSize)
self.LesionSizeRange.setMaximumValue(self.MaximumLesionSize)
self.scoreField=dict()
for sr in self.summary_reports:
self.scoreField[sr] = qt.QLineEdit()
self.scoreField[sr].setText(0)
parametersFormLayout.addRow("Total "+sr, self.scoreField[sr])
#
# Update button and Select Table
#
self.updateButton = qt.QPushButton("Update")
self.updateButton.toolTip = "Update calcium score computation"
self.updateButton.enabled = True
self.updateButton.setFixedSize(100, 50)
#parametersFormLayout.addRow("", self.updateButton)
self.updateButton.connect('clicked()', self.onUpdate)
#
# Select table
#
self.selectLabels = qt.QTableWidget()
#self.selectLabels.horizontalHeader().hide()
self.selectLabels.verticalHeader().hide()
self.selectLabels.setColumnCount(6)
self.selectLabels.itemClicked.connect(self.handleItemClicked)
#Add row with columns name
col_names=["","Agatston Score","Mass Score","Volume (mm^3)","Mean HU","Max HU"]
self.selectLabels.setHorizontalHeaderLabels(col_names)
parametersFormLayout.addRow(self.updateButton, self.selectLabels)
#
# Save Widget Area
#
#self.saveCollapsibleButton = ctk.ctkCollapsibleButton()
#self.saveCollapsibleButton.text = "Saving"
#self.layout.addWidget(self.saveCollapsibleButton)
self.reportsWidget = CaseReportsWidget(self.moduleName, self.columnsDict, parentWidget=self.parent)
self.reportsWidget.setup()
self.reportsWidget.showPrintButton(False)
self.reportsWidget.addObservable(self.reportsWidget.EVENT_SAVE_BUTTON_CLICKED, self.onSaveReport)
#
# ROI Area
#
self.roiCollapsibleButton = ctk.ctkCollapsibleButton()
self.roiCollapsibleButton.text = "ROI"
self.roiCollapsibleButton.setChecked(False)
self.layout.addWidget(self.roiCollapsibleButton)
# Layout within the dummy collapsible button
roiFormLayout = qt.QFormLayout(self.roiCollapsibleButton)
#
# ROI
#
self.ROIWidget = slicer.qMRMLAnnotationROIWidget()
self.roiNode = slicer.vtkMRMLAnnotationROINode()
slicer.mrmlScene.AddNode(self.roiNode)
self.ROIWidget.setMRMLAnnotationROINode(self.roiNode)
roiFormLayout.addRow("", self.ROIWidget)
#self.roiNode.AddObserver("ModifiedEvent", self.onROIChangedEvent, 1)
# Add vertical spacer
self.layout.addStretch(1)
# Add temp nodes
self.croppedNode=slicer.vtkMRMLScalarVolumeNode()
self.croppedNode.SetHideFromEditors(1)
slicer.mrmlScene.AddNode(self.croppedNode)
self.labelsNode=slicer.vtkMRMLLabelMapVolumeNode()
slicer.mrmlScene.AddNode(self.labelsNode)
if self.inputSelector.currentNode():
self.onVolumeChanged(self.inputSelector.currentNode())
#self.createModels()
def cleanup(self):
self.reportsWidget.cleanup()
self.reportsWidget = None
def addLabel(self, row, rgb, values):
#print "add row", row, rgb
self.selectLabels.setRowCount(row+1)
item0 = qt.QTableWidgetItem('')
item0.setFlags(qt.Qt.ItemIsUserCheckable | qt.Qt.ItemIsEnabled)
item0.setCheckState(qt.Qt.Unchecked)
self.selectLabels.setItem(row,0,item0)
for ii,val in enumerate(values):
item1 = qt.QTableWidgetItem('')
color=qt.QColor()
color.setRgbF(rgb[0],rgb[1],rgb[2])
item1.setData(qt.Qt.BackgroundRole,color)
item1.setText("%.02f"%val)
self.selectLabels.setItem(row,1+ii,item1)
def handleItemClicked(self, item):
if item.checkState() == qt.Qt.Checked:
self.selectedLabelList[item.row()] = 1
else:
self.selectedLabelList[item.row()] = 0
#print "LIST=", self.selectedLabelList
self.computeTotalScore()
self.updateModels()
def computeTotalScore(self):
for sr in self.summary_reports:
self.totalScores[sr] = 0
for n in range(0, len(self.selectedLabelList)):
if self.selectedLabelList[n] == 1:
for sr in self.summary_reports:
self.totalScores[sr] = self.totalScores[sr] + self.labelScores[sr][n]
for sr in self.summary_reports:
self.scoreField[sr].setText(self.totalScores[sr])
def updateModels(self):
for n in range(0, len(self.selectedLabelList)):
model = self.modelNodes[n]
dnode = model.GetDisplayNode()
rgb = [1,0,0]
if self.selectedLabelList[n] == 1:
rgb = self.selectedRGB
else:
ct=slicer.mrmlScene.GetNodeByID('vtkMRMLColorTableNodeLabels')
ct.GetLookupTable().GetColor(n+1,rgb)
dnode.SetColor(rgb)
def setInteractor(self):
self.renderWindow = slicer.app.layoutManager().threeDWidget(0).threeDView().renderWindow()
self.iren = self.renderWindow.GetInteractor()
lm = slicer.app.layoutManager()
for v in range(lm.threeDViewCount):
td = lm.threeDWidget(v)
ms = vtk.vtkCollection()
td.getDisplayableManagers(ms)
for i in range(ms.GetNumberOfItems()):
m = ms.GetItemAsObject(i)
if m.GetClassName() == "vtkMRMLModelDisplayableManager":
self.dispManager = m
break
self.propPicker = vtk.vtkPropPicker()
self.iren.SetPicker(self.propPicker)
#self.propPicker.AddObserver("EndPickEvent", self.PickProp)
#self.propPicker.AddObserver("PickEvent", self.PickProp)
self.renderer = slicer.app.layoutManager().threeDWidget(0).threeDView().renderWindow().GetRenderers().GetFirstRenderer()
tag = self.iren.AddObserver("LeftButtonReleaseEvent", self.processEvent, self.priority)
self.observerTags.append([self.iren,tag])
tag = self.iren.AddObserver("MouseMoveEvent", self.processEvent, self.priority)
self.observerTags.append([self.iren,tag])
self.mouseInteractor = MouseInteractorActor()
self.mouseInteractor.SetDefaultRenderer(self.renderer)
self.iterStyleSave = iren.GetInteractorStyle()
self.iren.SetInteractorStyle(self.mouseInteractor)
def onVolumeChanged(self, value):
self.volumeNode = self.inputSelector.currentNode()
if self.volumeNode != None:
xyz = [0,0,0]
c=[0,0,0]
slicer.vtkMRMLSliceLogic.GetVolumeRASBox(self.volumeNode,xyz,c)
xyz[:]=[x*0.2 for x in xyz]
self.roiNode.SetXYZ(c)
self.roiNode.SetRadiusXYZ(xyz)
sp = self.volumeNode.GetSpacing()
self.voxelVolume = sp[0]*sp[1]*sp[2]
self.sx=sp[0]
self.sy=sp[1]
self.sz=sp[2]
#self.createModels()
def onTypeChanged(self, value):
self.calcificationType = value
if self.calcificationType == 0:
self.roiCollapsibleButton.setEnabled(1)
self.ROIWidget.setEnabled(1)
self.roiNode.SetDisplayVisibility(1)
#self.logic.cropVolumeWithROI(self.volumeNode, self.roiNode, self.croppedVolumeNode)
else:
self.roiCollapsibleButton.setEnabled(0)
self.ROIWidget.setEnabled(0)
self.roiNode.SetDisplayVisibility(0)
#self.createModels()
def onMinSizeChanged(self, value):
self.MinimumLesionSize = value
#self.createModels()
def onMaxSizeChanged(self, value):
self.MaximumLesionSize = value
#self.createModels()
def onThresholdMinChanged(self, value):
self.ThresholdMin = value
#self.createModels()
def onThresholdMaxChanged(self, value):
self.ThresholdMax = value
#self.createModels()
def onROIChangedEvent(self, observee, event):
pass
#self.createModels()
def onUpdate(self):
self.createModels()
def deleteModels(self):
for m in self.modelNodes:
m.SetAndObservePolyData(None)
slicer.mrmlScene.RemoveNode(m.GetDisplayNode())
slicer.mrmlScene.RemoveNode(m)
self.modelNodes = []
self.selectedLabels = {}
def PickProp(self, object, event):
# print "PICK"
pickedActor = self.propPicker.GetActor()
poly = pickedActor.GetMapper().GetInput()
label = self.selectedLabels[poly]
print ("picked label = ", label)
def processEvent(self,observee,event):
# print "PICK EVENT", event
self.xy = self.iren.GetEventPosition()
self.propPicker.PickProp(self.xy[0], self.xy[1], self.renderer)
pickedActor = self.propPicker.GetActor()
if pickedActor:
poly = pickedActor.GetMapper().GetInput()
label = self.selectedLabels[poly]
print ("picked label = ", label)
def onSaveReport(self):
""" Save the current values in a persistent csv file
"""
self.statsAsCSV(self.reportsWidget, self.volumeNode)
def statsAsCSV(self, repWidget, volumeNode):
if self.totalScores is None:
qt.QMessageBox.warning(slicer.util.mainWindow(), "Data not existing", "No statistics calculated")
return
row={}
row['CaseID']=volumeNode.GetName()
for sr in self.summary_reports:
row[sr.replace(" ","")]=self.totalScores[sr]
repWidget.insertRow(**row)
qt.QMessageBox.information(slicer.util.mainWindow(), 'Data saved', 'The data were saved successfully')
def computeDensityScore(self, d):
score = 0
if d > 129 and d < 200:
score = 1
elif d < 300:
score = 2
elif d < 400:
score = 3
else:
score = 4
return score
def createModels(self):
self.deleteModels()
for sr in self.summary_reports:
self.labelScores[sr]=[]
self.selectedLabelList = []
if self.calcificationType == 0 and self.volumeNode and self.roiNode:
#print 'in Heart Create Models'
slicer.vtkSlicerCropVolumeLogic().CropVoxelBased(self.roiNode, self.volumeNode, self.croppedNode)
croppedImage = sitk.ReadImage( sitkUtils.GetSlicerITKReadWriteAddress(self.croppedNode.GetName()))
thresholdImage = sitk.BinaryThreshold(croppedImage,self.ThresholdMin, self.ThresholdMax, 1, 0)
connectedCompImage =sitk.ConnectedComponent(thresholdImage, True)
relabelImage =sitk.RelabelComponent(connectedCompImage)
labelStatFilter =sitk.LabelStatisticsImageFilter()
labelStatFilter.Execute(croppedImage, relabelImage)
if relabelImage.GetPixelID() != sitk.sitkInt16:
relabelImage = sitk.Cast( relabelImage, sitk.sitkInt16 )
sitk.WriteImage( relabelImage, sitkUtils.GetSlicerITKReadWriteAddress(self.labelsNode.GetName()))
nLabels = labelStatFilter.GetNumberOfLabels()
#print "Number of labels = ", nLabels
self.totalScore = 0
count = 0
#Computation of the score follows this paper:
#C. H McCollough, Radiology, 243(2), 2007
for n in range(0,nLabels):
max = labelStatFilter.GetMaximum(n)
mean = labelStatFilter.GetMean(n)
size = labelStatFilter.GetCount(n)
volume = size*self.voxelVolume
if volume > self.MaximumLesionSize:
continue
if volume < self.MinimumLesionSize:
nLabels = n+1
break
density_score = self.computeDensityScore(max)
#Agatston score is \sum_i area_i * density_score_i
#For now we assume that all the plaques have the same density score
score = size*(self.sx*self.sy)*density_score
mass_score = mean*volume
#print "label = ", n, " max = ", max, " score = ", score, " voxels = ", size
self.labelScores["Agatston Score"].append(score)
self.labelScores["Mass Score"].append(mass_score)
self.labelScores["Volume"].append(volume)
self.selectedLabelList.append(0)
self.marchingCubes.SetInputData(self.labelsNode.GetImageData())
self.marchingCubes.SetValue(0, n)
self.marchingCubes.Update()
self.transformPolyData.SetInputData(self.marchingCubes.GetOutput())
mat = vtk.vtkMatrix4x4()
self.labelsNode.GetIJKToRASMatrix(mat)
trans = vtk.vtkTransform()
trans.SetMatrix(mat)
self.transformPolyData.SetTransform(trans)
self.transformPolyData.Update()
poly = vtk.vtkPolyData()
poly.DeepCopy(self.transformPolyData.GetOutput())
modelNode = slicer.vtkMRMLModelNode()
slicer.mrmlScene.AddNode(modelNode)
dnode = slicer.vtkMRMLModelDisplayNode()
slicer.mrmlScene.AddNode(dnode)
modelNode.AddAndObserveDisplayNodeID(dnode.GetID())
modelNode.SetAndObservePolyData(poly)
ct=slicer.mrmlScene.GetNodeByID('vtkMRMLColorTableNodeLabels')
rgb = [0,0,0]
ct.GetLookupTable().GetColor(count+1,rgb)
dnode.SetColor(rgb)
#Enable Slice intersection
dnode.SetSliceDisplayMode(0)
dnode.SetSliceIntersectionVisibility(1)
self.addLabel(count, rgb, [score,mass_score,volume,mean,max])
count = count+1
self.modelNodes.append(modelNode)
self.selectedLabels[poly] = n
#a = slicer.util.array(tn.GetID())
#sa = sitk.GetImageFromArray(a)
for sr in self.summary_reports:
self.scoreField[sr].setText(self.totalScores[sr])
else:
print ("not implemented")
class CIP_ParenchymaAnalysisWidget(ScriptedLoadableModuleWidget):
@property
def moduleName(self):
return os.path.basename(__file__).replace(".py", "")
def __init__(self, parent=None):
ScriptedLoadableModuleWidget.__init__(self, parent)
self.chartOptions = ("LAA%-950", "LAA%-925", "LAA%-910", "LAA%-856",
"HAA%-700", "HAA%-600", "HAA%-500", "HAA%-250",
"Perc10", "Perc15", "Mean", "Std", "Kurtosis",
"Skewness", "Ventilation Heterogeneity", "Mass",
"Volume")
# Build the column keys. Here all the columns are declared, but an alternative could be just:
#self.columnsDict = CaseReportsWidget.getColumnKeysNormalizedDictionary(["Volume Name", "Region", "LAA%-950", ...])
self.columnsDict = OrderedDict()
self.columnsDict["VolumeName"] = "Volume Name"
self.columnsDict["Region"] = "Region"
self.columnsDict["LAA950"] = "LAA%-950"
self.columnsDict["LAA925"] = "LAA%-925"
self.columnsDict["LAA910"] = "LAA%-910"
self.columnsDict["LAA856"] = "LAA%-856"
self.columnsDict["HAA700"] = "HAA%-700"
self.columnsDict["HAA600"] = "HAA%-600"
self.columnsDict["HAA500"] = "HAA%-500"
self.columnsDict["HAA250"] = "HAA%-250"
self.columnsDict["Perc10"] = "Perc10"
self.columnsDict["Perc15"] = "Perc15"
self.columnsDict["Mean"] = "Mean"
self.columnsDict["Std"] = "Std"
self.columnsDict["Kurtosis"] = "Kurtosis"
self.columnsDict["Skewness"] = "Skewness"
self.columnsDict[
"VentilationHeterogeneity"] = "Ventilation Heterogeneity"
self.columnsDict["Mass"] = "Mass"
self.columnsDict["Volume"] = "Volume"
self.rTags = ("WholeLung", "RightLung", "LeftLung", "RUL", "RLL",
"RML", "LUL", "LLL", "LUT", "LMT", "LLT", "RUT", "RMT",
"RLT")
if not parent:
self.parent = slicer.qMRMLWidget()
self.parent.setLayout(qt.QVBoxLayout())
self.parent.setMRMLScene(slicer.mrmlScene)
else:
self.parent = parent
self.logic = None
self.CTNode = None
self.labelNode = None
# self.expNode = None
# self.explabelNode = None
self.fileName = None
self.fileDialog = None
if not parent:
self.setup()
self.CTSelector.setMRMLScene(slicer.mrmlScene)
# self.expSelector.setMRMLScene(slicer.mrmlScene)
self.labelSelector.setMRMLScene(slicer.mrmlScene)
# self.explabelSelector.setMRMLScene(slicer.mrmlScene)
self.parent.show()
def enter(self):
if self.labelSelector.currentNode():
for color in ['Red', 'Yellow', 'Green']:
slicer.app.layoutManager().sliceWidget(color).sliceLogic(
).GetSliceCompositeNode().SetLabelVolumeID(
self.labelSelector.currentNode().GetID())
def exit(self):
for color in ['Red', 'Yellow', 'Green']:
slicer.app.layoutManager().sliceWidget(color).sliceLogic(
).GetSliceCompositeNode().SetLabelVolumeID('None')
def setup(self):
ScriptedLoadableModuleWidget.setup(self)
#
# the inps volume selector
#
parametersCollapsibleButton = ctk.ctkCollapsibleButton()
parametersCollapsibleButton.text = "IO Volumes"
self.parent.layout().addWidget(parametersCollapsibleButton)
# Layout within the dummy collapsible button
parametersFormLayout = qt.QFormLayout(parametersCollapsibleButton)
parametersFormLayout.setVerticalSpacing(5)
self.CTSelector = slicer.qMRMLNodeComboBox()
self.CTSelector.nodeTypes = (("vtkMRMLScalarVolumeNode"), "")
self.CTSelector.addAttribute("vtkMRMLScalarVolumeNode", "LabelMap", 0)
self.CTSelector.selectNodeUponCreation = False
self.CTSelector.addEnabled = False
self.CTSelector.removeEnabled = False
self.CTSelector.noneEnabled = True
self.CTSelector.showHidden = False
self.CTSelector.showChildNodeTypes = False
self.CTSelector.setMRMLScene(slicer.mrmlScene)
self.CTSelector.setToolTip("Pick the CT image to work on.")
parametersFormLayout.addRow("Input CT Volume: ", self.CTSelector)
#
# the label map volume selector
#
self.labelSelector = slicer.qMRMLNodeComboBox()
# self.labelSelector.nodeTypes = ( ("vtkMRMLScalarVolumeNode"), "" )
# self.labelSelector.addAttribute( "vtkMRMLScalarVolumeNode", "LabelMap", 1 )
self.labelSelector.nodeTypes = (("vtkMRMLLabelMapVolumeNode"), "")
self.labelSelector.selectNodeUponCreation = True
self.labelSelector.addEnabled = False
self.labelSelector.removeEnabled = False
self.labelSelector.noneEnabled = True
self.labelSelector.showHidden = False
self.labelSelector.showChildNodeTypes = False
self.labelSelector.setMRMLScene(slicer.mrmlScene)
self.labelSelector.setToolTip("Pick the label map to the algorithm.")
parametersFormLayout.addRow("Label Map Volume: ", self.labelSelector)
# Image filtering section
self.preProcessingWidget = PreProcessingWidget(
self.moduleName, parentWidget=self.parent)
self.preProcessingWidget.setup()
#
# self.splitRadioButton = qt.QRadioButton()
# self.splitRadioButton.setText('Split Label Map')
# self.splitRadioButton.setChecked(0)
# self.parent.layout().addWidget(self.splitRadioButton, 0, 3)
# Apply button
self.applyButton = qt.QPushButton("Apply")
self.applyButton.toolTip = "Calculate Parenchyma Phenotypes."
self.applyButton.enabled = False
self.applyButton.setFixedSize(300, 30)
self.parent.layout().addWidget(self.applyButton, 0, 4)
# model and view for stats table
self.view = qt.QTableView()
self.view.sortingEnabled = True
self.parent.layout().addWidget(self.view)
# model and view for EXP stats table
"""self.viewexp = qt.QTableView()
self.viewexp.sortingEnabled = True
self.parent.layout().addWidget(self.viewexp)"""
# Histogram Selection
self.HistSection = qt.QFrame()
self.HistSection.setLayout(qt.QVBoxLayout())
self.parent.layout().addWidget(self.HistSection)
self.HistSection.setObjectName('HistSection')
self.HistSection.setStyleSheet(
'#HistSection {border: 0.5px solid lightGray; }')
HistSectionTitle = qt.QLabel()
HistSectionTitle.setText('Histogram Section')
# HistSectionTitle.setStyleSheet('border: 1px solid white; color: black')
self.HistSection.layout().addWidget(HistSectionTitle)
self.histogramCheckBoxes = []
self.histFrame = qt.QFrame()
# self.histFrame.setStyleSheet('border: 1px solid white')
self.histFrame.setLayout(qt.QHBoxLayout())
self.GlobalHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.GlobalHistCheckBox)
self.histFrame.layout().addWidget(self.GlobalHistCheckBox)
self.RightHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.RightHistCheckBox)
self.histFrame.layout().addWidget(self.RightHistCheckBox)
self.LeftHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.LeftHistCheckBox)
self.histFrame.layout().addWidget(self.LeftHistCheckBox)
self.RULHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.RULHistCheckBox)
self.histFrame.layout().addWidget(self.RULHistCheckBox)
self.RLLHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.RLLHistCheckBox)
self.histFrame.layout().addWidget(self.RLLHistCheckBox)
self.RMLHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.RMLHistCheckBox)
self.histFrame.layout().addWidget(self.RMLHistCheckBox)
self.LULHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.LULHistCheckBox)
self.histFrame.layout().addWidget(self.LULHistCheckBox)
self.LLLHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.LLLHistCheckBox)
self.histFrame.layout().addWidget(self.LLLHistCheckBox)
self.LUTHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.LUTHistCheckBox)
self.histFrame.layout().addWidget(self.LUTHistCheckBox)
self.LMTHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.LMTHistCheckBox)
self.histFrame.layout().addWidget(self.LMTHistCheckBox)
self.LLTHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.LLTHistCheckBox)
self.histFrame.layout().addWidget(self.LLTHistCheckBox)
self.RUTHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.RUTHistCheckBox)
self.histFrame.layout().addWidget(self.RUTHistCheckBox)
self.RMTHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.RMTHistCheckBox)
self.histFrame.layout().addWidget(self.RMTHistCheckBox)
self.RLTHistCheckBox = qt.QCheckBox()
self.histogramCheckBoxes.append(self.RLTHistCheckBox)
self.histFrame.layout().addWidget(self.RLTHistCheckBox)
for i in xrange(len(self.histogramCheckBoxes)):
self.histogramCheckBoxes[i].setText(self.rTags[i])
self.histogramCheckBoxes[i].hide()
self.HistSection.layout().addWidget(self.histFrame)
self.HistSection.enabled = False
# Chart button
self.chartBox = qt.QFrame()
self.chartBox.setObjectName("chartBox")
self.chartBox.setStyleSheet(
'#chartBox {border: 0.5px solid lightGray;}')
self.chartBox.setLayout(qt.QVBoxLayout())
self.parent.layout().addWidget(self.chartBox)
chartSectionTitle = qt.QLabel()
chartSectionTitle.setText('Chart Section')
self.chartBox.layout().addWidget(chartSectionTitle)
chartFrame = qt.QFrame()
chartFrame.setLayout(qt.QHBoxLayout())
self.chartBox.layout().addWidget(chartFrame)
self.chartButton = qt.QPushButton("Chart")
self.chartButton.toolTip = "Make a chart from the current statistics."
chartFrame.layout().addWidget(self.chartButton)
self.chartOption = qt.QComboBox()
self.chartOption.addItems(self.chartOptions)
chartFrame.layout().addWidget(self.chartOption)
self.chartBox.enabled = False
self.reportsWidget = CaseReportsWidget(self.moduleName,
self.columnsDict,
parentWidget=self.parent)
self.reportsWidget.setup()
self.reportsWidget.showPrintButton(True)
# self.reportsWidget.saveButton.enabled = False
# self.reportsWidget.openButton.enabled = False
# self.reportsWidget.exportButton.enabled = False
# self.reportsWidget.removeButton.enabled = False
# By default, the Print button is hidden
# self.reportsWidget.showPrintButton.enabled = False
# Add vertical spacer
self.parent.layout().addStretch(1)
# connections
self.applyButton.connect('clicked()', self.onApply)
self.chartButton.connect('clicked()', self.onChart)
self.reportsWidget.addObservable(
self.reportsWidget.EVENT_SAVE_BUTTON_CLICKED, self.onSaveReport)
self.reportsWidget.addObservable(
self.reportsWidget.EVENT_PRINT_BUTTON_CLICKED, self.onPrintReport)
self.CTSelector.connect('currentNodeChanged(vtkMRMLNode*)',
self.onCTSelect)
self.labelSelector.connect('currentNodeChanged(vtkMRMLNode*)',
self.onLabelSelect)
self.GlobalHistCheckBox.connect('clicked()', self.onHistogram)
self.RightHistCheckBox.connect('clicked()', self.onHistogram)
self.LeftHistCheckBox.connect('clicked()', self.onHistogram)
self.RULHistCheckBox.connect('clicked()', self.onHistogram)
self.RLLHistCheckBox.connect('clicked()', self.onHistogram)
self.RMLHistCheckBox.connect('clicked()', self.onHistogram)
self.LULHistCheckBox.connect('clicked()', self.onHistogram)
self.LLLHistCheckBox.connect('clicked()', self.onHistogram)
self.LUTHistCheckBox.connect('clicked()', self.onHistogram)
self.LMTHistCheckBox.connect('clicked()', self.onHistogram)
self.LLTHistCheckBox.connect('clicked()', self.onHistogram)
self.RUTHistCheckBox.connect('clicked()', self.onHistogram)
self.RMTHistCheckBox.connect('clicked()', self.onHistogram)
self.RLTHistCheckBox.connect('clicked()', self.onHistogram)
def cleanup(self):
self.reportsWidget.cleanup()
self.reportsWidget = None
def onCTSelect(self, node):
self.CTNode = node
self.applyButton.enabled = bool(
self.CTNode) # and bool(self.labelNode)
self.preProcessingWidget.enableFilteringFrame(bool(self.CTNode))
self.preProcessingWidget.enableLMFrame(bool(not self.labelNode))
if self.CTNode:
for color in ['Red', 'Yellow', 'Green']:
slicer.app.layoutManager().sliceWidget(color).sliceLogic(
).GetSliceCompositeNode().SetBackgroundVolumeID(
self.CTNode.GetID())
else:
for color in ['Red', 'Yellow', 'Green']:
slicer.app.layoutManager().sliceWidget(color).sliceLogic(
).GetSliceCompositeNode().SetBackgroundVolumeID('None')
def onLabelSelect(self, node):
self.labelNode = node
self.applyButton.enabled = bool(
self.CTNode) # and bool(self.labelNode)
self.preProcessingWidget.enableFilteringFrame(bool(self.CTNode))
self.preProcessingWidget.enableLMFrame(bool(not self.labelNode))
SlicerUtil.changeLabelmapOpacity(0.5)
if self.labelNode:
self.preProcessingWidget.filterApplication.setChecked(1)
self.preProcessingWidget.filterApplication.setEnabled(0)
for color in ['Red', 'Yellow', 'Green']:
slicer.app.layoutManager().sliceWidget(color).sliceLogic(
).GetSliceCompositeNode().SetLabelVolumeID(
self.labelNode.GetID())
else:
self.preProcessingWidget.filterApplication.setChecked(0)
self.preProcessingWidget.filterApplication.setEnabled(1)
for color in ['Red', 'Yellow', 'Green']:
slicer.app.layoutManager().sliceWidget(color).sliceLogic(
).GetSliceCompositeNode().SetLabelVolumeID('None')
def inputVolumesAreValid(self):
"""Verify that volumes are compatible with label calculation
algorithm assumptions"""
if not self.CTNode: # or not self.labelNode:
qt.QMessageBox.warning(slicer.util.mainWindow(),
"Parenchyma Analysis",
"Please select a CT Input Volume.")
return False
if not self.CTNode.GetImageData(
): # or not self.labelNode.GetImageData():
qt.QMessageBox.warning(slicer.util.mainWindow(),
"Parenchyma Analysis",
"Please select a CT Input Volume.")
return False
if not self.labelNode or not self.labelNode.GetImageData():
warning = self.preProcessingWidget.warningMessageForLM()
if warning == 16384:
self.createLungLabelMap()
else:
qt.QMessageBox.warning(slicer.util.mainWindow(),
"Parenchyma Analysis",
"Please select a Lung Label Map.")
return False
return True
if self.CTNode.GetImageData().GetDimensions(
) != self.labelNode.GetImageData().GetDimensions():
qt.QMessageBox.warning(
slicer.util.mainWindow(), "Parenchyma Analysis",
"Input Volumes do not have the same geometry.")
return False
# if self.preProcessingWidget.filterOnRadioButton.checked:
# self.preProcessingWidget.filterApplication.setChecked(1)
return True
def filterInputCT(self):
self.applyButton.enabled = False
self.applyButton.text = "Filtering..."
# TODO: why doesn't processEvents alone make the label text change?
self.applyButton.repaint()
slicer.app.processEvents()
self.preProcessingWidget.filterInputCT(self.CTNode)
def createLungLabelMap(self):
"""Create the lung label map
"""
self.applyButton.enabled = False
if self.preProcessingWidget.filterOnRadioButton.checked: # and not self.preProcessingWidget.filterApplication.checked:
self.filterInputCT()
inputNode = self.CTNode
self.applyButton.text = "Creating Label Map..."
# TODO: why doesn't processEvents alone make the label text change?
self.applyButton.repaint()
slicer.app.processEvents()
self.labelNode = slicer.mrmlScene.AddNode(
slicer.vtkMRMLLabelMapVolumeNode())
name = inputNode.GetName() + '_partialLungLabelMap'
self.labelNode.SetName(slicer.mrmlScene.GenerateUniqueName(name))
self.preProcessingWidget.createPartialLM(inputNode, self.labelNode)
label_image = self.labelNode.GetImageData()
shape = list(label_image.GetDimensions())
input_array = vtk.util.numpy_support.vtk_to_numpy(
label_image.GetPointData().GetScalars())
original_shape = input_array.shape
input_array = input_array.reshape(
shape[2], shape[1],
shape[0]) # input_array.transpose([2, 1, 0]) would not work!
input_image = sitk.GetImageFromArray(input_array)
input_image.SetSpacing(self.labelNode.GetSpacing())
input_image.SetOrigin(self.labelNode.GetOrigin())
my_lung_splitter = lung_splitter(split_thirds=True)
split_lm = my_lung_splitter.execute(input_image)
split = sitk.GetArrayFromImage(split_lm)
input_aa = vtk.util.numpy_support.vtk_to_numpy(
label_image.GetPointData().GetScalars())
input_aa[:] = split.reshape(original_shape)
self.labelNode.StorableModified()
self.labelNode.Modified()
self.labelNode.InvokeEvent(
slicer.vtkMRMLVolumeNode.ImageDataModifiedEvent, self.labelNode)
SlicerUtil.changeLabelmapOpacity(0.5)
def onApply(self):
"""Calculate the parenchyma analysis
"""
if not self.inputVolumesAreValid():
return
self.applyButton.enabled = False
if self.preProcessingWidget.filterOnRadioButton.checked and self.preProcessingWidget.filterApplication.checked:
self.filterInputCT()
self.applyButton.text = "Analysing..."
# TODO: why doesn't processEvents alone make the label text change?
self.applyButton.repaint()
slicer.app.processEvents()
self.logic = CIP_ParenchymaAnalysisLogic(self.CTNode, self.labelNode)
self.populateStats()
self.logic.createHistogram()
for i in xrange(len(self.histogramCheckBoxes)):
self.histogramCheckBoxes[i].setChecked(0)
self.histogramCheckBoxes[i].hide()
for tag in self.rTags:
if tag in self.logic.regionTags:
self.histogramCheckBoxes[self.rTags.index(tag)].show()
self.HistSection.enabled = True
self.chartBox.enabled = True
# self.reportsWidget.saveButton.enabled = True
# self.reportsWidget.openButton.enabled = True
# self.reportsWidget.exportButton.enabled = True
# self.reportsWidget.removeButton.enabled = True
self.applyButton.enabled = True
self.applyButton.text = "Apply"
for color in ['Red', 'Yellow', 'Green']:
slicer.app.layoutManager().sliceWidget(color).sliceLogic(
).GetSliceCompositeNode().SetBackgroundVolumeID(
self.CTNode.GetID())
self.labelSelector.setCurrentNode(self.labelNode)
def onHistogram(self):
"""Histogram of the selected region
"""
self.histList = []
for i in xrange(len(self.histogramCheckBoxes)):
if self.histogramCheckBoxes[i].checked == True:
self.histList.append(self.rTags[i])
self.logic.AddSelectedHistograms(self.histList)
def onChart(self):
"""chart the parenchyma analysis
"""
valueToPlot = self.chartOptions[self.chartOption.currentIndex]
self.logic.createStatsChart(self.labelNode, valueToPlot)
def onSaveReport(self):
""" Save the current values in a persistent csv file
"""
self.logic.statsAsCSV(self.reportsWidget, self.CTNode)
def onPrintReport(self):
"""
Print a pdf report
"""
emphysema_image_path, ct_slice_path = self.logic.computeEmphysemaOnSlice(
self.CTNode, self.labelNode, op=0.5)
pdfReporter = PdfReporter()
# Get the values that are going to be inserted in the html template
caseName = self.CTNode.GetName()
values = dict()
values["@@PATH_TO_STATIC@@"] = os.path.join(
os.path.dirname(os.path.realpath(__file__)), "Resources/")
values["@@SUBJECT@@"] = "Subject: " + str(caseName)
values["@@GLOBAL_LEVEL@@"] = "{:.2f}%".format(
self.logic.labelStats['LAA%-950', 'WholeLung'])
values["@@SUMMARY@@"] = "Emphysema per region: "
pdfRows = """"""
for tag in self.logic.regionTags:
pdfRows += """<tr>
<td align="center">{} </td>
<td align="center">{:.2f} </td>
</tr>""".format(tag, self.logic.labelStats['LAA%-950', tag])
values["@@TABLE_ROWS@@"] = pdfRows
# Get the path to the html template
htmlTemplatePath = os.path.join(
os.path.dirname(os.path.realpath(__file__)),
"Resources/CIP_ParenchymaAnalysisReport.html")
# Get a list of image absolute paths that may be needed for the report. In this case, we get the ACIL logo
imagesFileList = [SlicerUtil.ACIL_LOGO_PATH]
values["@@EMPHYSEMA_IMAGE@@"] = emphysema_image_path
values["@@CT_IMAGE@@"] = ct_slice_path
# Print the report. Remember that we can optionally specify the absolute path where the report is going to
# be stored
pdfReporter.printPdf(htmlTemplatePath,
values,
self.reportPrinted,
imagesFileList=imagesFileList)
def reportPrinted(self, reportPath):
Util.openFile(reportPath)
def onFileSelected(self, fileName):
self.logic.saveStats(fileName)
def populateStats(self):
if not self.logic:
return
displayNode = self.labelNode.GetDisplayNode()
colorNode = displayNode.GetColorNode()
lut = colorNode.GetLookupTable()
self.items = []
self.model = qt.QStandardItemModel()
self.view.setModel(self.model)
self.view.verticalHeader().visible = False
row = 0
for regionTag, regionValue in zip(self.logic.regionTags,
self.logic.regionValues):
color = qt.QColor()
rgb = lut.GetTableValue(regionValue[0])
color.setRgb(rgb[0] * 255, rgb[1] * 255, rgb[2] * 255)
item = qt.QStandardItem()
item.setData(color, 1)
item.setText(str(regionTag))
item.setData(regionTag, 1)
item.setToolTip(regionTag)
item.setTextAlignment(1)
self.model.setItem(row, 0, item)
self.items.append(item)
col = 1
for k in self.logic.keys:
item = qt.QStandardItem()
item.setText("%.3f" % self.logic.labelStats[k, regionTag])
item.setTextAlignment(4)
self.view.setColumnWidth(col, 15 * len(item.text()))
self.model.setItem(row, col, item)
self.items.append(item)
col += 1
row += 1
self.view.setColumnWidth(0, 15 * len('Region'))
self.model.setHeaderData(0, 1, "Region")
col = 1
for k in self.logic.keys:
# self.view.setColumnWidth(col,15*len(k))
self.model.setHeaderData(col, 1, k)
col += 1
class CIP_CalciumScoringWidget(ScriptedLoadableModuleWidget):
def __init__(self, parent=None):
print "init"
ScriptedLoadableModuleWidget.__init__(self, parent)
# Default variables
# -----------------
self.calcificationType = 0
self.ThresholdMin = 130.0
self.ThresholdMax = 1000.0
self.MinimumLesionSize = 1
self.MaximumLesionSize = 500
self.selectedLabelList = []
self.selectedLabels = {}
self.modelNodes = []
self.selectedRGB = [1, 0, 0]
self.summary_reports = [
"Agatston Score 2D", "Agatston Score 3D", "Mass Score", "Volume"
]
self.labelScores = dict()
self.totalScores = dict()
for sr in self.summary_reports:
self.labelScores[sr] = []
self.totalScores[sr] = 0
self.columnsDict = OrderedDict()
self.columnsDict["CaseID"] = "CaseID"
for sr in self.summary_reports:
self.columnsDict[sr.replace(" ", "")] = sr
def setup(self):
print "setup()"
self.setInteractor()
# Instantiate and connect widgets
# -------------------------------
ScriptedLoadableModuleWidget.setup(self)
# Parameters Area
# ---------------
parametersCollapsibleButton = ctk.ctkCollapsibleButton()
parametersCollapsibleButton.text = "Parameters"
self.layout.addWidget(parametersCollapsibleButton)
parametersFormLayout = qt.QFormLayout(parametersCollapsibleButton)
# Target volume selector
# ----------------------
self.inputSelector = slicer.qMRMLNodeComboBox()
self.inputSelector.nodeTypes = (("vtkMRMLScalarVolumeNode"), "")
self.inputSelector.addEnabled = False
self.inputSelector.removeEnabled = False
self.inputSelector.noneEnabled = False
self.inputSelector.showHidden = False
self.inputSelector.showChildNodeTypes = False
self.inputSelector.setMRMLScene(slicer.mrmlScene)
self.inputSelector.setToolTip("Pick the input to the algorithm.")
parametersFormLayout.addRow("Target Volume: ", self.inputSelector)
self.inputSelector.connect("currentNodeChanged(vtkMRMLNode*)",
self.onVolumeChanged)
self.volumeNode = self.inputSelector.currentNode()
# Thresholds selectors
# --------------------
self.ThresholdRange = ctk.ctkRangeWidget()
self.ThresholdRange.minimum = 0
self.ThresholdRange.maximum = 2000
self.ThresholdRange.setMinimumValue(self.ThresholdMin)
self.ThresholdRange.setMaximumValue(self.ThresholdMax)
self.ThresholdRange.connect("minimumValueChanged(double)",
self.onThresholdMinChanged)
self.ThresholdRange.connect("maximumValueChanged(double)",
self.onThresholdMaxChanged)
parametersFormLayout.addRow("Threshold Value", self.ThresholdRange)
self.ThresholdRange.setMinimumValue(self.ThresholdMin)
self.ThresholdRange.setMaximumValue(self.ThresholdMax)
self.LesionSizeRange = ctk.ctkRangeWidget()
self.LesionSizeRange.minimum = 0.5
self.LesionSizeRange.maximum = 2000 # 1000
self.LesionSizeRange.setMinimumValue(self.MinimumLesionSize)
self.LesionSizeRange.setMaximumValue(self.MaximumLesionSize)
self.LesionSizeRange.connect("minimumValueChanged(double)",
self.onMinSizeChanged)
self.LesionSizeRange.connect("maximumValueChanged(double)",
self.onMaxSizeChanged)
parametersFormLayout.addRow("Lesion Size (mm^3)", self.LesionSizeRange)
self.LesionSizeRange.setMinimumValue(self.MinimumLesionSize)
self.LesionSizeRange.setMaximumValue(self.MaximumLesionSize)
# Summary Fields
# --------------------------
self.scoreField = dict()
for sr in self.summary_reports:
self.scoreField[sr] = qt.QLineEdit()
self.scoreField[sr].setText(0)
parametersFormLayout.addRow("Total " + sr, self.scoreField[sr])
# Update button
# -------------
self.updateButton = qt.QPushButton("Update")
self.updateButton.toolTip = "Update calcium score computation"
self.updateButton.enabled = True
self.updateButton.setFixedSize(100, 50)
self.updateButton.connect('clicked()', self.onUpdate)
# Select table
# ------------
self.selectLabels = qt.QTableWidget()
self.selectLabels.verticalHeader().hide()
self.selectLabels.setColumnCount(6)
self.selectLabels.itemClicked.connect(self.handleItemClicked)
col_names = [
"", "Agatston Score 2D", "Agatston Score 3D", "Mass Score",
"Volume (mm^3)", "Mean HU", "Max HU"
]
self.selectLabels.setHorizontalHeaderLabels(col_names)
parametersFormLayout.addRow(self.updateButton, self.selectLabels)
# Save button
# -----------
self.reportsWidget = CaseReportsWidget(self.moduleName,
self.columnsDict,
parentWidget=self.parent)
self.reportsWidget.setup()
self.reportsWidget.showPrintButton(False)
self.reportsWidget.addObservable(
self.reportsWidget.EVENT_SAVE_BUTTON_CLICKED, self.onSaveReport)
# ROI Area
# --------
self.roiCollapsibleButton = ctk.ctkCollapsibleButton()
self.roiCollapsibleButton.text = "ROI"
self.roiCollapsibleButton.setChecked(False)
self.layout.addWidget(self.roiCollapsibleButton)
# Layout within the dummy collapsible button
roiFormLayout = qt.QFormLayout(self.roiCollapsibleButton)
# ROI
# ---
self.ROIWidget = slicer.qMRMLAnnotationROIWidget()
self.roiNode = slicer.vtkMRMLAnnotationROINode()
slicer.mrmlScene.AddNode(self.roiNode)
self.ROIWidget.setMRMLAnnotationROINode(self.roiNode)
roiFormLayout.addRow("", self.ROIWidget)
# Add vertical spacer
self.layout.addStretch(1)
# Add temp nodes
self.croppedNode = slicer.vtkMRMLScalarVolumeNode()
self.croppedNode.SetHideFromEditors(1)
slicer.mrmlScene.AddNode(self.croppedNode)
self.labelsNode = slicer.vtkMRMLLabelMapVolumeNode()
slicer.mrmlScene.AddNode(self.labelsNode)
if self.inputSelector.currentNode():
self.onVolumeChanged(self.inputSelector.currentNode())
def setInteractor(self):
slice_views = ["Red", "Yellow", "Green"]
for sv in slice_views:
slice_view_interactor = slicer.app.layoutManager().sliceWidget(
sv).sliceView().renderWindow().GetInteractor()
slice_view_interactor.AddObserver("LeftButtonReleaseEvent",
self.processEvent)
slice_view_interactor.TAG = "three views: %s" % sv
slice_view_interactor.Node = slicer.app.layoutManager(
).sliceWidget(sv).sliceLogic().GetLabelLayer().GetSliceNode()
def processEvent(self, observee, event):
xy = observee.GetEventPosition()
transformationMatrix = observee.Node.GetXYToRAS()
xyRAS = np.array(
transformationMatrix.MultiplyPoint([xy[0], xy[1], 0, 1]))
transformationMatrix = vtk.vtkMatrix4x4()
self.labelsNode.GetRASToIJKMatrix(transformationMatrix)
numpy_data = slicer.util.array(self.labelsNode.GetName())
ijk_coords = transformationMatrix.MultiplyPoint(xyRAS)
ijk_coords = np.array(np.rint(ijk_coords), dtype=np.int16)
value = numpy_data[ijk_coords[2], ijk_coords[1], ijk_coords[0]]
table_item = self.selectLabels.takeItem(value - 1, 0)
if table_item.checkState() == qt.Qt.Checked:
table_item.setCheckState(qt.Qt.Unchecked)
else:
table_item.setCheckState(qt.Qt.Checked)
self.selectLabels.setItem(value - 1, 0, table_item)
self.handleItemClicked(table_item)
def computeTotalScore(self):
for sr in self.summary_reports:
self.totalScores[sr] = 0
for n in range(0, len(self.selectedLabelList)):
if self.selectedLabelList[n] == 1:
for sr in self.summary_reports:
self.totalScores[
sr] = self.totalScores[sr] + self.labelScores[sr][n]
for sr in self.summary_reports:
self.scoreField[sr].setText(self.totalScores[sr])
def updateModels(self):
for n in range(0, len(self.selectedLabelList)):
model = self.modelNodes[n]
dnode = model.GetDisplayNode()
rgb = [1, 0, 0]
if self.selectedLabelList[n] == 1:
rgb = self.selectedRGB
else:
ct = slicer.mrmlScene.GetNodeByID(
'vtkMRMLColorTableNodeLabels')
ct.GetLookupTable().GetColor(n + 1, rgb)
dnode.SetColor(rgb)
def deleteModels(self):
for m in self.modelNodes:
m.SetAndObservePolyData(None)
slicer.mrmlScene.RemoveNode(m.GetDisplayNode())
slicer.mrmlScene.RemoveNode(m)
self.modelNodes = []
self.selectedLabels = {}
def handleItemClicked(self, item):
"""Select a candidate from list and re-compute the total score"""
if item.checkState() == qt.Qt.Checked:
self.selectedLabelList[item.row()] = 1
else:
self.selectedLabelList[item.row()] = 0
self.computeTotalScore()
self.updateModels()
def addLabel(self, row, rgb, values):
self.selectLabels.setRowCount(row + 1)
item0 = qt.QTableWidgetItem('')
item0.setFlags(qt.Qt.ItemIsUserCheckable | qt.Qt.ItemIsEnabled)
item0.setCheckState(qt.Qt.Unchecked)
self.selectLabels.setItem(row, 0, item0)
for ii, val in enumerate(values):
item1 = qt.QTableWidgetItem('')
color = qt.QColor()
color.setRgbF(rgb[0], rgb[1], rgb[2])
item1.setData(qt.Qt.BackgroundRole, color)
item1.setText("%.02f" % val)
self.selectLabels.setItem(row, 1 + ii, item1)
def computeDensityScore(self, d):
score = 0
if d > 129 and d < 200:
score = 1
elif d < 300:
score = 2
elif d < 400:
score = 3
else:
score = 4
return score
def agatston_computation(self, n, relabelImage, croppedImage,
prod_spacing):
croppedImage_arr = sitk.GetArrayFromImage(croppedImage)
relabelImage_arr = sitk.GetArrayFromImage(relabelImage)
ii = np.where(relabelImage_arr == n)
min_coord = np.min(ii, axis=1)
max_coord = np.max(ii, axis=1)
max_coord += 1
# crop_label = (np.array(relabelImage_arr[min_coord[0]:max_coord[0], min_coord[1]:max_coord[1], min_coord[2]:max_coord[2]]) == n)
crop_label = relabelImage_arr[min_coord[0]:max_coord[0],
min_coord[1]:max_coord[1],
min_coord[2]:max_coord[2]] == n
crop_img = croppedImage_arr[min_coord[0]:max_coord[0],
min_coord[1]:max_coord[1],
min_coord[2]:max_coord[2]]
crop_img *= (crop_label == 1)
agatston = 0
volume = 0
mass_score = 0
for sl in crop_img:
max_HU = np.max(sl)
size = np.count_nonzero(sl)
layer_volume = size * prod_spacing
volume += layer_volume
agatston += layer_volume * self.computeDensityScore(max_HU)
mass_score += layer_volume * np.mean(sl)
return agatston, volume, mass_score
def statsAsCSV(self, repWidget, volumeNode):
if self.totalScores is None:
qt.QMessageBox.warning(slicer.util.mainWindow(),
"Data not existing",
"No statistics calculated")
return
row = {}
row['CaseID'] = volumeNode.GetName()
for sr in self.summary_reports:
row[sr.replace(" ", "")] = self.totalScores[sr]
print row
storageNode = self.volumeNode.GetStorageNode()
filepath = str(storageNode.GetFullNameFromFileName())
split_path = filepath.split('.')
output_path = split_path[0]
with open("%s_cac.%s" % (output_path, "json"), 'w') as f:
json.dump(row, f)
# repWidget.insertRow(**row)
# qt.QMessageBox.information(slicer.util.mainWindow(), 'Data saved', 'The data were saved successfully')
# def saveSegmentationAsNrrd(self):
def saveSegmentation(self):
roiCenter = [0, 0, 0]
self.roiNode.GetXYZ(roiCenter)
transformationMatrix = vtk.vtkMatrix4x4()
self.volumeNode.GetRASToIJKMatrix(transformationMatrix)
roiCenter_ijk = transformationMatrix.MultiplyPoint(
[roiCenter[0], roiCenter[1], roiCenter[2], 1])
roiCenter_ijk = np.array(np.rint(roiCenter_ijk), dtype=np.int16)
numpy_data = np.array(slicer.util.array(self.labelsNode.GetName()))
lbs = np.argwhere(np.array(self.selectedLabelList) == 1).flatten() + 1
numpy_data[np.logical_not(np.isin(numpy_data, lbs))] = 0
saved_array = np.array(slicer.util.array(self.volumeNode.GetName()))
slicer.util.array(self.volumeNode.GetName()).fill(0)
slicer.util.array(self.volumeNode.GetName())[
roiCenter_ijk[2] - numpy_data.shape[0] / 2:roiCenter_ijk[2] +
(numpy_data.shape[0] + 1) / 2,
roiCenter_ijk[1] - numpy_data.shape[1] / 2:roiCenter_ijk[1] +
(numpy_data.shape[1] + 1) / 2,
roiCenter_ijk[0] - numpy_data.shape[2] / 2:roiCenter_ijk[0] +
(numpy_data.shape[2] + 1) / 2] = numpy_data
storageNode = self.volumeNode.GetStorageNode()
filepath = str(storageNode.GetFullNameFromFileName())
split_path = filepath.split('.')
output_path = split_path[0]
extension = split_path[1]
result = slicer.util.saveNode(self.volumeNode,
"%s_cac.%s" % (output_path, extension))
slicer.util.array(self.volumeNode.GetName())[:, :, :] = saved_array
def onVolumeChanged(self, value):
self.volumeNode = self.inputSelector.currentNode()
if self.volumeNode != None:
xyz = [0, 0, 0]
c = [0, 0, 0]
slicer.vtkMRMLSliceLogic.GetVolumeRASBox(self.volumeNode, xyz, c)
xyz[:] = [x * 0.2 for x in xyz]
self.roiNode.SetXYZ(c)
self.roiNode.SetRadiusXYZ(xyz)
sp = self.volumeNode.GetSpacing()
self.voxelVolume = sp[0] * sp[1] * sp[2]
self.sx = sp[0]
self.sy = sp[1]
self.sz = sp[2]
def onMinSizeChanged(self, value):
self.MinimumLesionSize = value
#self.createModels()
def onMaxSizeChanged(self, value):
self.MaximumLesionSize = value
#self.createModels()
def onThresholdMinChanged(self, value):
self.ThresholdMin = value
#self.createModels()
def onThresholdMaxChanged(self, value):
self.ThresholdMax = value
#self.createModels()
def onUpdate(self):
self.createModels()
def onSaveReport(self):
"""Save the current values in a persistent csv file"""
self.statsAsCSV(self.reportsWidget, self.volumeNode)
self.saveSegmentation()
def createModels(self):
# Reset previous model and labels
self.deleteModels()
for sr in self.summary_reports:
self.labelScores[sr] = []
self.selectedLabelList = []
if self.calcificationType == 0 and self.volumeNode and self.roiNode:
slicer.vtkSlicerCropVolumeLogic().CropVoxelBased(
self.roiNode, self.volumeNode, self.croppedNode)
croppedImage = sitk.ReadImage(
sitkUtils.GetSlicerITKReadWriteAddress(
self.croppedNode.GetName()))
thresholdImage = sitk.BinaryThreshold(croppedImage,
self.ThresholdMin,
self.ThresholdMax, 1, 0)
connectedCompImage = sitk.ConnectedComponent(thresholdImage, True)
relabelImage = sitk.RelabelComponent(connectedCompImage)
labelStatFilter = sitk.LabelStatisticsImageFilter()
labelStatFilter.Execute(croppedImage, relabelImage)
if relabelImage.GetPixelID() != sitk.sitkInt16:
relabelImage = sitk.Cast(relabelImage, sitk.sitkInt16)
sitk.WriteImage(
relabelImage,
sitkUtils.GetSlicerITKReadWriteAddress(
self.labelsNode.GetName()))
prod_spacing = np.prod(croppedImage.GetSpacing())
nLabels = labelStatFilter.GetNumberOfLabels()
self.totalScore = 0
count = 0
for n in range(0, nLabels):
max = labelStatFilter.GetMaximum(n)
mean = labelStatFilter.GetMean(n)
size = labelStatFilter.GetCount(n)
volume = size * self.voxelVolume
# current label is discarted if volume not meet the maximum allowed threshold
if volume > self.MaximumLesionSize:
continue
# As ordered, we stop here if the volume of the current label is less than threshold
if volume < self.MinimumLesionSize:
nLabels = n + 1
break
score2d, volume, mass_score = self.agatston_computation(
n, relabelImage, croppedImage, prod_spacing)
# Agatston 3d:
# -----------
density_score = self.computeDensityScore(max)
score3d = size * (self.sx * self.sy) * density_score
mass_score = mean * volume
# self.labelScores["Agatston Score"].append(score)
self.labelScores["Agatston Score 3D"].append(score3d)
self.labelScores["Agatston Score 2D"].append(score2d)
self.labelScores["Mass Score"].append(mass_score)
self.labelScores["Volume"].append(volume)
self.selectedLabelList.append(0)
# generate the contour
marchingCubes = vtk.vtkDiscreteMarchingCubes()
marchingCubes.SetInputData(self.labelsNode.GetImageData())
marchingCubes.SetValue(0, count + 1)
marchingCubes.Update()
transformPolyData = vtk.vtkTransformPolyDataFilter()
transformPolyData.SetInputData(marchingCubes.GetOutput())
mat = vtk.vtkMatrix4x4()
self.labelsNode.GetIJKToRASMatrix(mat)
trans = vtk.vtkTransform()
trans.SetMatrix(mat)
transformPolyData.SetTransform(trans)
transformPolyData.Update()
poly = vtk.vtkPolyData()
poly.DeepCopy(transformPolyData.GetOutput())
modelNode = slicer.vtkMRMLModelNode()
slicer.mrmlScene.AddNode(modelNode)
dnode = slicer.vtkMRMLModelDisplayNode()
slicer.mrmlScene.AddNode(dnode)
modelNode.AddAndObserveDisplayNodeID(dnode.GetID())
modelNode.SetAndObservePolyData(poly)
ct = slicer.mrmlScene.GetNodeByID(
'vtkMRMLColorTableNodeLabels')
rgb = [0, 0, 0]
ct.GetLookupTable().GetColor(count + 1, rgb)
dnode.SetColor(rgb)
# Enable Slice intersection
dnode.SetSliceDisplayMode(0)
dnode.SetSliceIntersectionVisibility(1)
# self.addLabel(count, rgb, [score, mass_score, volume, mean, max])
self.addLabel(
count, rgb,
[score2d, score3d, mass_score, volume, mean, max])
count = count + 1
self.modelNodes.append(modelNode)
self.selectedLabels[poly] = n
for sr in self.summary_reports:
self.scoreField[sr].setText(self.totalScores[sr])
