dynamicSPECT/cardiacSPECT/cardiacSPECT.py

import os
import sys
import unittest
import vtk, qt, ctk, slicer
from slicer.ScriptedLoadableModule import *
import logging
import vtkInterface as vi
import parseDicom as pd
#
# cardiacSPECT
#

class cardiacSPECT(ScriptedLoadableModule):
  """Uses ScriptedLoadableModule base class, available at:
  https://github.com/Slicer/Slicer/blob/master/Base/Python/slicer/ScriptedLoadableModule.py
  """
  def __init__(self, parent):
    ScriptedLoadableModule.__init__(self, parent)
    parent.title = "Cardiac SPECT"
    parent.categories = ["Examples"]
    parent.dependencies = []
    parent.contributors = ["Andrej Studen (FMF/JSI)"] # replace with "Firstname Lastname (Org)"
    parent.helpText = """
    Load dynamic cardiac SPECT data to Slicer
    """
    parent.acknowledgementText = """
    This module was developed within the frame of the ARRS sponsored medical
    physics research programe to investigate quantitative measurements of cardiac
    function using sestamibi-like tracers
    """ # replace with organization, grant and thanks.
    self.parent.helpText += self.getDefaultModuleDocumentationLink()
    self.parent = parent

#
# cardiacSPECTWidget
#

class cardiacSPECTWidget(ScriptedLoadableModuleWidget):
  """Uses ScriptedLoadableModuleWidget base class, available at:
  https://github.com/Slicer/Slicer/blob/master/Base/Python/slicer/ScriptedLoadableModule.py
  """

  def setup(self):
    ScriptedLoadableModuleWidget.setup(self)

    # Instantiate and connect widgets ...
    dataButton = ctk.ctkCollapsibleButton()
    dataButton.text = "Data"
    self.layout.addWidget(dataButton)

    # Layout within the sample collapsible button
    dataFormLayout = qt.QFormLayout(dataButton)

    #pathGuess="file://"+os.environ['HOME']+"/SPECT"
    pathGuess="labkey://" + "dinamic_spect/%40files/Dinamika%20test2/SPECT_Dinamika_Rekonstruirano"
    self.dataPath=qt.QLineEdit(pathGuess)
    dataFormLayout.addRow("Data location",self.dataPath)

    browseButton = qt.QPushButton("Browse")
    browseButton.toolTip="Set file location"
    dataFormLayout.addRow("Change data location",browseButton)
    browseButton.connect('clicked(bool)',self.onBrowseButtonClicked)

    dataLoadButton = qt.QPushButton("Load")
    dataLoadButton.toolTip="Load data from DICOM"
    dataFormLayout.addRow("Data",dataLoadButton)
    dataLoadButton.connect('clicked(bool)',self.onDataLoadButtonClicked)

    self.dataLoadButton = dataLoadButton

    # Add vertical spacer
    self.layout.addStretch(1)

    #addFrameButton=qt.QPushButton("Add Frame")
    #addFrameButton.toolTip="Add frame to VTK"
    #dataFormLayout.addWidget(addFrameButton)
    #addFrameButton.connect('clicked(bool)',self.onAddFrameButtonClicked)

    #addCTButton=qt.QPushButton("Add CT")
    #addCTButton.toolTip="Add CT to VTK"
    #dataFormLayout.addWidget(addCTButton)
    #addCTButton.connect('clicked(bool)',self.onAddCTButtonClicked)

    #
    # Parameters Area
    #

    parametersCollapsibleButton = ctk.ctkCollapsibleButton()
    parametersCollapsibleButton.text = "Parameters"
    self.layout.addWidget(parametersCollapsibleButton)

    # Layout within the dummy collapsible button
    parametersFormLayout = qt.QFormLayout(parametersCollapsibleButton)

    #
    # check box to trigger taking screen shots for later use in tutorials
    #
    hbox1=qt.QHBoxLayout()

    frameLabel = qt.QLabel()
    frameLabel.setText("Select frame")
    hbox1.addWidget(frameLabel)

    self.time_frame_select=qt.QSlider(qt.Qt.Horizontal)
    self.time_frame_select.valueChanged.connect(self.onTimeFrameSelect)

    #self.time_frame_select.connect('valueChanged()', self.onTimeFrameSelect)
    self.time_frame_select.setMinimum(0)
    self.time_frame_select.setMaximum(0)
    self.time_frame_select.setValue(0)
    self.time_frame_select.setTickPosition(qt.QSlider.TicksBelow)
    self.time_frame_select.setTickInterval(5)
    self.time_frame_select.toolTip = "Select the time frame"
    hbox1.addWidget(self.time_frame_select)

    parametersFormLayout.addRow(hbox1)

    hbox2 = qt.QHBoxLayout()

    meanROILabel = qt.QLabel()
    meanROILabel.setText("MeanROI")
    hbox2.addWidget(meanROILabel)

    self.meanROIVolume = qt.QLineEdit()
    self.meanROIVolume.setText("testVolume15")
    hbox2.addWidget(self.meanROIVolume)

    self.meanROISegment = qt.QLineEdit()
    self.meanROISegment.setText("Segment_1")
    hbox2.addWidget(self.meanROISegment)

    computeMeanROI = qt.QPushButton("Compute mean ROI")
    computeMeanROI.connect('clicked(bool)',self.onComputeMeanROIClicked)
    hbox2.addWidget(computeMeanROI)

    self.meanROIResult = qt.QLineEdit()
    self.meanROIResult.setText("0")
    hbox2.addWidget(self.meanROIResult)


    parametersFormLayout.addRow(hbox2)

    #row 3
    hbox3 = qt.QHBoxLayout()

    drawTimePlot=qt.QPushButton("Draw ROI time plot")
    drawTimePlot.connect('clicked(bool)',self.onDrawTimePlotClicked)
    hbox3.addWidget(drawTimePlot)

    parametersFormLayout.addRow(hbox3)
    #dataFormLayout.addWidget(hbox)

    #row 4
    hbox4 = qt.QHBoxLayout()

    countSegments=qt.QPushButton("Count segmentation segments")
    countSegments.connect('clicked(bool)',self.onCountSegmentsClicked)
    hbox4.addWidget(countSegments)

    self.countSegmentsDisplay=qt.QLineEdit()
    self.countSegmentsDisplay.setText("0")
    hbox4.addWidget(self.countSegmentsDisplay)
    parametersFormLayout.addRow(hbox4)


    #
    # Apply Button
    #
    self.applyButton = qt.QPushButton("Apply")
    self.applyButton.toolTip = "Run the algorithm."
    self.applyButton.enabled = False
    parametersFormLayout.addRow(self.applyButton)

    # connections
    self.applyButton.connect('clicked(bool)', self.onApplyButton)
    #self.inputSelector.connect("currentNodeChanged(vtkMRMLNode*)", self.onSelect)
    #self.outputSelector.connect("currentNodeChanged(vtkMRMLNode*)", self.onSelect)

    # Add vertical spacer
    self.layout.addStretch(1)

    self.logic=cardiacSPECTLogic()

    self.resetPosition=1

  def cleanup(self):
    pass

  def onApplyButton(self):
      pass
    #logic = cardiacSPECTLogic()
    #imageThreshold = self.imageThresholdSliderWidget.value

  def onBrowseButtonClicked(self):
      startDir=self.dataPath.text
      inputDir=qt.QFileDialog.getExistingDirectory(None,
          'Select DICOM directory',startDir)

      self.dataPath.setText("file://"+inputDir)

  def onDataLoadButtonClicked(self):
      self.logic.loadData(self)

  def onTimeFrameSelect(self):
       it=self.time_frame_select.value
       selectionNode = slicer.app.applicationLogic().GetSelectionNode()
       print("Propagating CT volume")
       node=slicer.mrmlScene.GetFirstNodeByName("testCT")
       selectionNode.SetReferenceActiveVolumeID(node.GetID())
       if self.resetPosition==1:
          self.resetPosition=0
          slicer.app.applicationLogic().PropagateVolumeSelection(1)
       else:
          slicer.app.applicationLogic().PropagateVolumeSelection(0)
       print("Propagating SPECT volume")
       nodeName='testVolume'+str(it)
       node=slicer.mrmlScene.GetFirstNodeByName(nodeName)
       selectionNode.SetSecondaryVolumeID(node.GetID())
       slicer.app.applicationLogic().PropagateForegroundVolumeSelection(0)
       node.GetDisplayNode().SetAndObserveColorNodeID('vtkMRMLColorTableNodeRed')
       lm = slicer.app.layoutManager()
       sID=['Red','Yellow','Green']
       for s in sID:
           sliceLogic = lm.sliceWidget(s).sliceLogic()
           compositeNode = sliceLogic.GetSliceCompositeNode()
           compositeNode.SetForegroundOpacity(0.5)

       #make sure the viewer is matched to the volume
       print("Done")
        #to access sliceLogic (slice control) use
        #lcol=slicer.app.layoutManager().mrmlSliceLogics() (vtkCollection)
        #vtkMRMLSliceLogic are named by colors (Red,Green,Blue)

  def onComputeMeanROIClicked(self):
        s=self.logic.meanROI(self.meanROIVolume.text,self.meanROISegment.text)
        self.meanROIResult.setText(str(s))

  def onDrawTimePlotClicked(self):
        n=self.time_frame_select.maximum
        ft=self.logic.frame_time

        #find number of segments
        ns = self.logic.countSegments()

        #add the chart node
        cn = slicer.mrmlScene.AddNode(slicer.vtkMRMLChartNode())

        for j in range(0,ns):
            segment="Segment_"+str(j+1)
            #add node for data
            dn = slicer.mrmlScene.AddNode(slicer.vtkMRMLDoubleArrayNode())
            a = dn.GetArray()
            a.SetNumberOfTuples(n)
            for i in range(0,n):
                vol="testVolume"+str(i)
                fx=ft[i]
                fy=self.logic.meanROI(vol,segment)
                a.SetComponent(i, 0, fx)
                a.SetComponent(i, 1, fy)
                a.SetComponent(i, 2, 0)
                print("({0:.2f}:{1:.2f})".format(fx,fy))

            cn.AddArray(segment, dn.GetID())

        cn.SetProperty('default', 'title', 'ROI time plot')
        cn.SetProperty('default', 'xAxisLabel', 'time [ms]')
        cn.SetProperty('default', 'yAxisLabel', 'Activity (arb)')

        #update the chart node
        cvns = slicer.mrmlScene.GetNodesByClass('vtkMRMLChartViewNode')
        cvns.InitTraversal()
        cvn = cvns.GetNextItemAsObject()
        cvn.SetChartNodeID(cn.GetID())

  def onCountSegmentsClicked(self):
        self.countSegmentsDisplay.setText(self.logic.countSegments())

  #def onAddFrameButtonClicked(self):
#      it=int(self.time_frame_select.text)
#      self.logic.addFrame(it)

 # def onAddCTButtonClicked(self):
#      self.logic.addCT()
#
#
# cardiacSPECTLogic
#

class cardiacSPECTLogic(ScriptedLoadableModuleLogic):
  """This class should implement all the actual
  computation done by your module.  The interface
  should be such that other python code can import
  this class and make use of the functionality without
  requiring an instance of the Widget.
  Uses ScriptedLoadableModuleLogic base class, available at:
  https://github.com/Slicer/Slicer/blob/master/Base/Python/slicer/ScriptedLoadableModule.py
  """

  def loadData(self,widget):

    inputDir=str(widget.dataPath.text)
    self.frame_data, self.frame_time, self.frame_origin, \
        self.frame_pixel_size, self.frame_orientation=pd.read_dynamic_SPECT(inputDir)

    self.ct_data,self.ct_origin,self.ct_pixel_size, \
        self.ct_orientation=pd.read_CT(inputDir)

    self.ct_orientation=vi.completeOrientation(self.ct_orientation)
    self.frame_orientation=vi.completeOrientation(self.frame_orientation)

    self.addCT()
    self.addFrames()

    widget.time_frame_select.setMaximum(self.frame_data.shape[3]-1)

    #additional message via qt
    qt.QMessageBox.information(
        slicer.util.mainWindow(),
        'Slicer Python','Data loaded')


  def addNode(self,nodeName,v, origin, pixel_size, orientation, dataType):

       # if dataType=0 it is CT data, which gets propagated to background an is
       #used to fit the view field dimensions

       # if dataType=1, it is SPECT data, which gets propagated to foreground
       #and is not fit; keeping window set from CT

       #nodeName='testVolume'+str(it)
       newNode=slicer.vtkMRMLScalarVolumeNode()
       newNode.SetName(nodeName)

       #pixel_size=[0,0,0]
       #pixel_size=v.GetSpacing()
       #print(pixel_size)
       #origin=[0,0,0]
       #origin=v.GetOrigin()
       v.SetOrigin([0,0,0])
       v.SetSpacing([1,1,1])
       ijkToRAS = vtk.vtkMatrix4x4()
       #think how to do this with image orientation

       for i in range(0,3):
           for j in range(0,3):
               ijkToRAS.SetElement(i,j,pixel_size[i]*orientation[3*j+i])

           ijkToRAS.SetElement(i,3,origin[i])

       newNode.SetIJKToRASMatrix(ijkToRAS)
       newNode.SetAndObserveImageData(v)
       slicer.mrmlScene.AddNode(newNode)

  def addFrames(self):
       #convert data from numpy.array to vtkImageData
       #use time point it
       for it in range(0,self.frame_data.shape[3]):
           frame_data=self.frame_data[:,:,:,it];
           nodeName='testVolume'+str(it)
           self.addNode(nodeName,
              vi.numpyToVTK3D(frame_data,self.frame_origin,
                self.frame_pixel_size),
              self.frame_origin,
              self.frame_pixel_size,
              self.frame_orientation,1)

  def addCT(self):
       nodeName='testCT'
       self.addNode(nodeName,
            vi.numpyToVTK3D(self.ct_data,
                self.ct_origin,self.ct_pixel_size),
            self.ct_origin,self.ct_pixel_size,
            self.ct_orientation,0)

  def meanROI(self, volName1, segment):
    s=0

    #get the segmentation mask
    fNode=slicer.mrmlScene.GetNodesByClass("vtkMRMLSegmentationNode").GetItemAsObject(0)
    segNode=slicer.vtkMRMLSegmentationNode.SafeDownCast(fNode)

    #no python bindings for vtkSegmentation

    #if segNode.GetSegmentation().GetNumberOfSegments()==0 :
    #    print("No segments available")
    #    return 0

    mask = segNode.GetBinaryLabelmapRepresentation(segment)
    if mask==None:
        print("Segment {} not found".format(segment))
        return s

      #segNode.GetSegmentation().GetNthSegmentID(0))

    #get mask at (x,y,z)
    #mask.GetPointData().GetScalars().GetTuple1(mask.FindPoint([x,y,z]))

    #get the image data
    dataNode=slicer.mrmlScene.GetFirstNodeByName(volName1)
    dataImage=dataNode.GetImageData()
    # use IJK2RAS to get global coordinates
    ijkToRas = vtk.vtkMatrix4x4()
    dataNode.GetIJKToRASMatrix(ijkToRas)

    #iterate over volume pixelData
    n=dataImage.GetNumberOfPoints()

    for i in range(0,n):

      #get global coordinates of point i
      [ix,iy,iz]=dataImage.GetPoint(i)
      position_ijk=[ix, iy, iz, 1]
      #ras are global coordinates (in mm)
      position_ras=ijkToRas.MultiplyPoint(position_ijk)

      #find point in mask with the same global coordinates
      fr=[position_ras[0],position_ras[1],position_ras[2]]
      maskValue=mask.GetPointData().GetScalars().GetTuple1(mask.FindPoint(fr))

      if maskValue == 0:
          continue

      #use maskValue to project ROI data
      s+=maskValue*dataImage.GetPointData().GetScalars().GetTuple1(i)

    return s/n

  def countSegments(self):
    fNode=slicer.mrmlScene.GetNodesByClass("vtkMRMLSegmentationNode").GetItemAsObject(0)
    segNode=slicer.vtkMRMLSegmentationNode.SafeDownCast(fNode)
    i=1
    while 1:
        segName="Segment_"+str(i)
        mask = segNode.GetBinaryLabelmapRepresentation(segName)
        if mask==None:
           break
        i+=1
    return i-1

class cardiacSPECTTest(ScriptedLoadableModuleTest):
  """
  This is the test case for your scripted module.
  Uses ScriptedLoadableModuleTest base class, available at:
  https://github.com/Slicer/Slicer/blob/master/Base/Python/slicer/ScriptedLoadableModule.py
  """

  def setUp(self):
    """ Do whatever is needed to reset the state - typically a scene clear will be enough.
    """
    slicer.mrmlScene.Clear(0)

  def runTest(self):
    """Run as few or as many tests as needed here.
    """
    self.setUp()
    self.test_cardiacSPECT1()

  def test_cardiacSPECT1(self):
    """ Ideally you should have several levels of tests.  At the lowest level
    tests should exercise the functionality of the logic with different inputs
    (both valid and invalid).  At higher levels your tests should emulate the
    way the user would interact with your code and confirm that it still works
    the way you intended.
    One of the most important features of the tests is that it should alert other
    developers when their changes will have an impact on the behavior of your
    module.  For example, if a developer removes a feature that you depend on,
    your test should break so they know that the feature is needed.
    """

    self.delayDisplay("Starting the test")
    #
    # first, get some data
    #

    self.delayDisplay('Test passed!')