mitkBinaryThresholdULTool.cpp

Go to the documentation of this file.

/*===================================================================

The Medical Imaging Interaction Toolkit (MITK)

Copyright (c) German Cancer Research Center,
Division of Medical and Biological Informatics.
All rights reserved.

This software is distributed WITHOUT ANY WARRANTY; without
even the implied warranty of MERCHANTABILITY or FITNESS FOR
A PARTICULAR PURPOSE.

See LICENSE.txt or http://www.mitk.org for details.

===================================================================*/

#include "mitkBinaryThresholdULTool.h"

#include "mitkToolManager.h"

#include "mitkColorProperty.h"
#include "mitkLevelWindowProperty.h"
#include "mitkProperties.h"

#include "mitkDataStorage.h"
#include "mitkRenderingManager.h"
#include <mitkSliceNavigationController.h>

#include "mitkImageAccessByItk.h"
#include "mitkImageCast.h"
#include "mitkImageStatisticsHolder.h"
#include "mitkImageTimeSelector.h"
#include "mitkLabelSetImage.h"
#include "mitkMaskAndCutRoiImageFilter.h"
#include "mitkPadImageFilter.h"
#include <itkBinaryThresholdImageFilter.h>
#include <itkImageRegionIterator.h>

// us
#include "usGetModuleContext.h"
#include "usModule.h"
#include "usModuleContext.h"
#include "usModuleResource.h"

namespace mitk
{
  MITK_TOOL_MACRO(MITKSEGMENTATION_EXPORT, BinaryThresholdULTool, "ThresholdingUL tool");
}

mitk::BinaryThresholdULTool::BinaryThresholdULTool()
  : m_SensibleMinimumThresholdValue(-100),
    m_SensibleMaximumThresholdValue(+100),
    m_CurrentLowerThresholdValue(1),
    m_CurrentUpperThresholdValue(1)
{
  m_ThresholdFeedbackNode = DataNode::New();
  m_ThresholdFeedbackNode->SetProperty("color", ColorProperty::New(0.0, 1.0, 0.0));
  m_ThresholdFeedbackNode->SetProperty("name", StringProperty::New("Thresholding feedback"));
  m_ThresholdFeedbackNode->SetProperty("opacity", FloatProperty::New(0.3));
  m_ThresholdFeedbackNode->SetProperty("binary", BoolProperty::New(true));
  m_ThresholdFeedbackNode->SetProperty("helper object", BoolProperty::New(true));
}

mitk::BinaryThresholdULTool::~BinaryThresholdULTool()
{
}

const char **mitk::BinaryThresholdULTool::GetXPM() const
{
  return NULL;
}

us::ModuleResource mitk::BinaryThresholdULTool::GetIconResource() const
{
  us::Module *module = us::GetModuleContext()->GetModule();
  us::ModuleResource resource = module->GetResource("TwoThresholds_48x48.png");
  return resource;
}

const char *mitk::BinaryThresholdULTool::GetName() const
{
  return "UL Threshold";
}

void mitk::BinaryThresholdULTool::Activated()
{
  Superclass::Activated();

  m_ToolManager->RoiDataChanged +=
    mitk::MessageDelegate<mitk::BinaryThresholdULTool>(this, &mitk::BinaryThresholdULTool::OnRoiDataChanged);

  m_OriginalImageNode = m_ToolManager->GetReferenceData(0);
  m_NodeForThresholding = m_OriginalImageNode;

  if (m_NodeForThresholding.IsNotNull())
  {
    SetupPreviewNode();
  }
  else
  {
    m_ToolManager->ActivateTool(-1);
  }
}

void mitk::BinaryThresholdULTool::Deactivated()
{
  m_ToolManager->RoiDataChanged -=
    mitk::MessageDelegate<mitk::BinaryThresholdULTool>(this, &mitk::BinaryThresholdULTool::OnRoiDataChanged);
  m_NodeForThresholding = NULL;
  m_OriginalImageNode = NULL;
  try
  {
    if (DataStorage *storage = m_ToolManager->GetDataStorage())
    {
      storage->Remove(m_ThresholdFeedbackNode);
      RenderingManager::GetInstance()->RequestUpdateAll();
    }
  }
  catch (...)
  {
    // don't care
  }
  m_ThresholdFeedbackNode->SetData(NULL);

  Superclass::Deactivated();
}

void mitk::BinaryThresholdULTool::SetThresholdValues(double lower, double upper)
{
  if (m_ThresholdFeedbackNode.IsNotNull())
  {
    m_CurrentLowerThresholdValue = lower;
    m_CurrentUpperThresholdValue = upper;
    UpdatePreview();
  }
}

void mitk::BinaryThresholdULTool::AcceptCurrentThresholdValue()
{
  CreateNewSegmentationFromThreshold(m_NodeForThresholding);

  RenderingManager::GetInstance()->RequestUpdateAll();
  m_ToolManager->ActivateTool(-1);
}

void mitk::BinaryThresholdULTool::CancelThresholding()
{
  m_ToolManager->ActivateTool(-1);
}

void mitk::BinaryThresholdULTool::SetupPreviewNode()
{
  itk::RGBPixel<float> pixel;
  pixel[0] = 0.0f;
  pixel[1] = 1.0f;
  pixel[2] = 0.0f;

  if (m_NodeForThresholding.IsNotNull())
  {
    Image::Pointer image = dynamic_cast<Image *>(m_NodeForThresholding->GetData());
    Image::Pointer originalImage = dynamic_cast<Image *>(m_OriginalImageNode->GetData());

    if (image.IsNotNull())
    {
      mitk::LabelSetImage::Pointer workingImage =
        dynamic_cast<mitk::LabelSetImage *>(m_ToolManager->GetWorkingData(0)->GetData());

      if (workingImage.IsNotNull())
      {
        m_ThresholdFeedbackNode->SetData(workingImage->Clone());
        m_IsOldBinary = false;

        // Let's paint the feedback node green...
        mitk::LabelSetImage::Pointer previewImage =
          dynamic_cast<mitk::LabelSetImage *>(m_ThresholdFeedbackNode->GetData());

        if (previewImage.IsNull())
        {
          MITK_ERROR << "Cannot create helper objects.";
          return;
        }

        previewImage->GetActiveLabel()->SetColor(pixel);
        previewImage->GetActiveLabelSet()->UpdateLookupTable(previewImage->GetActiveLabel()->GetValue());
      }
      else
      {
        mitk::Image::Pointer workingImageBin = dynamic_cast<mitk::Image *>(m_ToolManager->GetWorkingData(0)->GetData());
        if (workingImageBin)
        {
          m_ThresholdFeedbackNode->SetData(workingImageBin->Clone());
          m_IsOldBinary = true;
        }
        else
          m_ThresholdFeedbackNode->SetData(mitk::Image::New());
      }

      m_ThresholdFeedbackNode->SetColor(pixel);
      m_ThresholdFeedbackNode->SetOpacity(0.5);

      int layer(50);
      m_NodeForThresholding->GetIntProperty("layer", layer);
      m_ThresholdFeedbackNode->SetIntProperty("layer", layer + 1);

      if (DataStorage *ds = m_ToolManager->GetDataStorage())
      {
        if (!ds->Exists(m_ThresholdFeedbackNode))
          ds->Add(m_ThresholdFeedbackNode, m_OriginalImageNode);
      }

      if (image.GetPointer() == originalImage.GetPointer())
      {
        Image::StatisticsHolderPointer statistics = originalImage->GetStatistics();
        m_SensibleMinimumThresholdValue = static_cast<double>(statistics->GetScalarValueMin());
        m_SensibleMaximumThresholdValue = static_cast<double>(statistics->GetScalarValueMax());
      }

      double range = m_SensibleMaximumThresholdValue - m_SensibleMinimumThresholdValue;
      m_CurrentLowerThresholdValue = m_SensibleMinimumThresholdValue + range / 3.0;
      m_CurrentUpperThresholdValue = m_SensibleMinimumThresholdValue + 2 * range / 3.0;

      bool isFloatImage = false;
      if ((originalImage->GetPixelType().GetPixelType() == itk::ImageIOBase::SCALAR) &&
          (originalImage->GetPixelType().GetComponentType() == itk::ImageIOBase::FLOAT ||
           originalImage->GetPixelType().GetComponentType() == itk::ImageIOBase::DOUBLE))
      {
        isFloatImage = true;
      }

      IntervalBordersChanged.Send(m_SensibleMinimumThresholdValue, m_SensibleMaximumThresholdValue, isFloatImage);
      ThresholdingValuesChanged.Send(m_CurrentLowerThresholdValue, m_CurrentUpperThresholdValue);
    }
  }
}

template <typename TPixel, unsigned int VImageDimension>
static void ITKSetVolume(itk::Image<TPixel, VImageDimension> *originalImage,
                         mitk::Image *segmentation,
                         unsigned int timeStep)
{
  segmentation->SetVolume((void *)originalImage->GetPixelContainer()->GetBufferPointer(), timeStep);
}

void mitk::BinaryThresholdULTool::CreateNewSegmentationFromThreshold(DataNode *node)
{
  if (node)
  {
    Image::Pointer feedBackImage = dynamic_cast<Image *>(m_ThresholdFeedbackNode->GetData());
    if (feedBackImage.IsNotNull())
    {
      // create a new image of the same dimensions and smallest possible pixel type
      DataNode::Pointer emptySegmentation = GetTargetSegmentationNode();

      if (emptySegmentation)
      {
        // actually perform a thresholding and ask for an organ type
        for (unsigned int timeStep = 0; timeStep < feedBackImage->GetTimeSteps(); ++timeStep)
        {
          try
          {
            ImageTimeSelector::Pointer timeSelector = ImageTimeSelector::New();
            timeSelector->SetInput(feedBackImage);
            timeSelector->SetTimeNr(timeStep);
            timeSelector->UpdateLargestPossibleRegion();
            Image::Pointer feedBackImage3D = timeSelector->GetOutput();

            if (feedBackImage3D->GetDimension() == 2)
            {
              AccessFixedDimensionByItk_2(
                feedBackImage3D, ITKSetVolume, 2, dynamic_cast<Image *>(emptySegmentation->GetData()), timeStep);
            }
            else
            {
              AccessFixedDimensionByItk_2(
                feedBackImage3D, ITKSetVolume, 3, dynamic_cast<Image *>(emptySegmentation->GetData()), timeStep);
            }
          }
          catch (...)
          {
            Tool::ErrorMessage("Error accessing single time steps of the original image. Cannot create segmentation.");
          }
        }

        // since we are maybe working on a smaller image, pad it to the size of the original image
        if (m_OriginalImageNode.GetPointer() != m_NodeForThresholding.GetPointer())
        {
          mitk::PadImageFilter::Pointer padFilter = mitk::PadImageFilter::New();

          padFilter->SetInput(0, dynamic_cast<mitk::Image *>(emptySegmentation->GetData()));
          padFilter->SetInput(1, dynamic_cast<mitk::Image *>(m_OriginalImageNode->GetData()));
          padFilter->SetBinaryFilter(true);
          padFilter->SetUpperThreshold(1);
          padFilter->SetLowerThreshold(1);
          padFilter->Update();

          emptySegmentation->SetData(padFilter->GetOutput());
        }

        m_ToolManager->SetWorkingData(emptySegmentation);
        m_ToolManager->GetWorkingData(0)->Modified();
      }
    }
  }
}

void mitk::BinaryThresholdULTool::OnRoiDataChanged()
{
  mitk::DataNode::Pointer node = m_ToolManager->GetRoiData(0);

  if (node.IsNotNull())
  {
    mitk::MaskAndCutRoiImageFilter::Pointer roiFilter = mitk::MaskAndCutRoiImageFilter::New();
    mitk::Image::Pointer image = dynamic_cast<mitk::Image *>(m_NodeForThresholding->GetData());

    if (image.IsNull())
      return;

    roiFilter->SetInput(image);
    roiFilter->SetRegionOfInterest(node->GetData());
    roiFilter->Update();

    mitk::DataNode::Pointer tmpNode = mitk::DataNode::New();
    tmpNode->SetData(roiFilter->GetOutput());

    m_SensibleMinimumThresholdValue = static_cast<double>(roiFilter->GetMinValue());
    m_SensibleMaximumThresholdValue = static_cast<double>(roiFilter->GetMaxValue());

    m_NodeForThresholding = tmpNode;
  }
  else
    m_NodeForThresholding = m_OriginalImageNode;

  this->SetupPreviewNode();
  this->UpdatePreview();
}

template <typename TPixel, unsigned int VImageDimension>
static void ITKThresholding(itk::Image<TPixel, VImageDimension> *originalImage,
                            mitk::Image *segmentation,
                            double lower,
                            double upper,
                            unsigned int timeStep)
{
  typedef itk::Image<TPixel, VImageDimension> ImageType;
  typedef itk::Image<mitk::Tool::DefaultSegmentationDataType, VImageDimension> SegmentationType;
  typedef itk::BinaryThresholdImageFilter<ImageType, SegmentationType> ThresholdFilterType;

  typename ThresholdFilterType::Pointer filter = ThresholdFilterType::New();
  filter->SetInput(originalImage);
  filter->SetLowerThreshold(lower);
  filter->SetUpperThreshold(upper);
  filter->SetInsideValue(1);
  filter->SetOutsideValue(0);
  filter->Update();

  segmentation->SetVolume((void *)(filter->GetOutput()->GetPixelContainer()->GetBufferPointer()), timeStep);
}

template <typename TPixel, unsigned int VImageDimension>
static void ITKThresholdingOldBinary(itk::Image<TPixel, VImageDimension> *originalImage,
                                     mitk::Image *segmentation,
                                     double lower,
                                     double upper,
                                     unsigned int timeStep)
{
  typedef itk::Image<TPixel, VImageDimension> ImageType;
  typedef itk::Image<unsigned char, VImageDimension> SegmentationType;
  typedef itk::BinaryThresholdImageFilter<ImageType, SegmentationType> ThresholdFilterType;

  typename ThresholdFilterType::Pointer filter = ThresholdFilterType::New();
  filter->SetInput(originalImage);
  filter->SetLowerThreshold(lower);
  filter->SetUpperThreshold(upper);
  filter->SetInsideValue(1);
  filter->SetOutsideValue(0);
  filter->Update();

  segmentation->SetVolume((void *)(filter->GetOutput()->GetPixelContainer()->GetBufferPointer()), timeStep);
}

void mitk::BinaryThresholdULTool::UpdatePreview()
{
  mitk::Image::Pointer thresholdImage = dynamic_cast<mitk::Image *>(m_NodeForThresholding->GetData());
  mitk::Image::Pointer previewImage = dynamic_cast<mitk::Image *>(m_ThresholdFeedbackNode->GetData());
  if (thresholdImage && previewImage)
  {
    for (unsigned int timeStep = 0; timeStep < thresholdImage->GetTimeSteps(); ++timeStep)
    {
      ImageTimeSelector::Pointer timeSelector = ImageTimeSelector::New();
      timeSelector->SetInput(thresholdImage);
      timeSelector->SetTimeNr(timeStep);
      timeSelector->UpdateLargestPossibleRegion();
      Image::Pointer feedBackImage3D = timeSelector->GetOutput();

      if (m_IsOldBinary)
      {
        AccessByItk_n(feedBackImage3D,
                      ITKThresholdingOldBinary,
                      (previewImage, m_CurrentLowerThresholdValue, m_CurrentUpperThresholdValue, timeStep));
      }
      else
      {
        AccessByItk_n(feedBackImage3D,
                      ITKThresholding,
                      (previewImage, m_CurrentLowerThresholdValue, m_CurrentUpperThresholdValue, timeStep));
      }
    }
    RenderingManager::GetInstance()->RequestUpdateAll();
  }
}