mitkAutoCropImageFilter.cpp

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

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 "mitkAutoCropImageFilter.h"

#include "mitkGeometry3D.h"
#include "mitkImageAccessByItk.h"
#include "mitkImageCast.h"
#include "mitkImageReadAccessor.h"
#include "mitkPlaneGeometry.h"
#include "mitkStatusBar.h"

#include <itkImageRegionConstIterator.h>
#include <itkRegionOfInterestImageFilter.h>
#include <mitkProportionalTimeGeometry.h>

mitk::AutoCropImageFilter::AutoCropImageFilter()
  : m_BackgroundValue(0), m_MarginFactor(1.0), m_TimeSelector(nullptr), m_OverrideCroppingRegion(false)
{
}

mitk::AutoCropImageFilter::~AutoCropImageFilter()
{
}

template <typename TPixel, unsigned int VImageDimension>
void mitk::AutoCropImageFilter::ITKCrop3DImage(itk::Image<TPixel, VImageDimension> *inputItkImage,
                                               unsigned int timestep)
{
  if (inputItkImage == nullptr)
  {
    mitk::StatusBar::GetInstance()->DisplayErrorText(
      "An internal error occurred. Can't convert Image. Please report to bugs@mitk.org");
    MITK_ERROR << "image is NULL...returning" << std::endl;
    return;
  }

  typedef itk::Image<TPixel, VImageDimension> InternalImageType;
  typedef typename InternalImageType::Pointer InternalImagePointer;

  typedef itk::RegionOfInterestImageFilter<InternalImageType, InternalImageType> ROIFilterType;
  typedef typename itk::RegionOfInterestImageFilter<InternalImageType, InternalImageType>::Pointer ROIFilterPointer;

  InternalImagePointer outputItk = InternalImageType::New();

  ROIFilterPointer roiFilter = ROIFilterType::New();
  roiFilter->SetInput(0, inputItkImage);
  roiFilter->SetRegionOfInterest(this->GetCroppingRegion());
  roiFilter->Update();
  outputItk = roiFilter->GetOutput();
  outputItk->DisconnectPipeline();

  mitk::Image::Pointer newMitkImage = mitk::Image::New();
  mitk::CastToMitkImage(outputItk, newMitkImage);
  MITK_INFO << "Crop-Output dimension: " << (newMitkImage->GetDimension() == 3)
            << " Filter-Output dimension: " << this->GetOutput()->GetDimension() << " Timestep: " << timestep;

  mitk::ImageReadAccessor newMitkImgAcc(newMitkImage);
  this->GetOutput()->SetVolume(newMitkImgAcc.GetData(), timestep);
}

void mitk::AutoCropImageFilter::GenerateOutputInformation()
{
  mitk::Image::Pointer input = const_cast<mitk::Image *>(this->GetInput());
  mitk::Image::Pointer output = this->GetOutput();

  if (input->GetDimension() <= 2)
  {
    MITK_ERROR << "Only 3D any 4D images are supported." << std::endl;
    return;
  }

  ComputeNewImageBounds();

  if ((output->IsInitialized()) && (output->GetPipelineMTime() <= m_TimeOfHeaderInitialization.GetMTime()))
    return;

  itkDebugMacro(<< "GenerateOutputInformation()");

  // PART I: initialize input requested region. We do this already here (and not
  // later when GenerateInputRequestedRegion() is called), because we
  // also need the information to setup the output.

  // pre-initialize input-requested-region to largest-possible-region
  // and correct time-region; spatial part will be cropped by
  // bounding-box of bounding-object below
  m_InputRequestedRegion = input->GetLargestPossibleRegion();

  // build region out of index and size calculated in ComputeNewImageBounds()

  mitk::SlicedData::IndexType index;
  index[0] = m_RegionIndex[0];
  index[1] = m_RegionIndex[1];
  index[2] = m_RegionIndex[2];
  index[3] = m_InputRequestedRegion.GetIndex()[3];
  index[4] = m_InputRequestedRegion.GetIndex()[4];

  mitk::SlicedData::SizeType size;
  size[0] = m_RegionSize[0];
  size[1] = m_RegionSize[1];
  size[2] = m_RegionSize[2];
  size[3] = m_InputRequestedRegion.GetSize()[3];
  size[4] = m_InputRequestedRegion.GetSize()[4];

  mitk::SlicedData::RegionType cropRegion(index, size);

  // crop input-requested-region with cropping region computed from the image data
  if (m_InputRequestedRegion.Crop(cropRegion) == false)
  {
    // crop not possible => do nothing: set time size to 0.
    size.Fill(0);
    m_InputRequestedRegion.SetSize(size);
    return;
  }

  // set input-requested-region, because we access it later in
  // GenerateInputRequestedRegion (there we just set the time)
  input->SetRequestedRegion(&m_InputRequestedRegion);

  // PART II: initialize output image
  unsigned int dimension = input->GetDimension();
  auto dimensions = new unsigned int[dimension];
  itk2vtk(m_InputRequestedRegion.GetSize(), dimensions);
  if (dimension > 3)
    memcpy(dimensions + 3, input->GetDimensions() + 3, (dimension - 3) * sizeof(unsigned int));

  // create basic slicedGeometry that will be initialized below
  output->Initialize(mitk::PixelType(GetOutputPixelType()), dimension, dimensions);
  delete[] dimensions;

  // clone the IndexToWorldTransform from the input, otherwise we will overwrite it, when adjusting the origin of the
  // output image!!
  itk::ScalableAffineTransform<mitk::ScalarType, 3>::Pointer cloneTransform =
    itk::ScalableAffineTransform<mitk::ScalarType, 3>::New();
  cloneTransform->Compose(input->GetGeometry()->GetIndexToWorldTransform());
  output->GetGeometry()->SetIndexToWorldTransform(cloneTransform.GetPointer());

  // Position the output Image to match the corresponding region of the input image
  mitk::SlicedGeometry3D *slicedGeometry = output->GetSlicedGeometry();
  mitk::SlicedGeometry3D::Pointer inputGeometry = input->GetSlicedGeometry();
  const mitk::SlicedData::IndexType &start = m_InputRequestedRegion.GetIndex();
  mitk::Point3D origin;
  vtk2itk(start, origin);
  input->GetSlicedGeometry()->IndexToWorld(origin, origin);
  slicedGeometry->SetOrigin(origin);

  // get the PlaneGeometry for the first slice of the original image
  mitk::PlaneGeometry::Pointer plane =
    dynamic_cast<mitk::PlaneGeometry *>(inputGeometry->GetPlaneGeometry(0)->Clone().GetPointer());
  assert(plane);

  // re-initialize the plane according to the new requirements:
  // dimensions of the cropped image
  // right- and down-vector as well as spacing do not change, so use the ones from
  // input image
  ScalarType dimX = output->GetDimensions()[0];
  ScalarType dimY = output->GetDimensions()[1];
  mitk::Vector3D right = plane->GetAxisVector(0);
  mitk::Vector3D down = plane->GetAxisVector(1);
  mitk::Vector3D spacing = plane->GetSpacing();
  plane->InitializeStandardPlane(dimX, dimY, right, down, &spacing);
  // set the new origin on the PlaneGeometry as well
  plane->SetOrigin(origin);

  // re-initialize the slicedGeometry with the correct planeGeometry
  // in order to get a fully initialized SlicedGeometry3D
  slicedGeometry->InitializeEvenlySpaced(
    plane, inputGeometry->GetSpacing()[2], output->GetSlicedGeometry()->GetSlices());

  mitk::TimeGeometry *timeSlicedGeometry = output->GetTimeGeometry();
  mitk::ProportionalTimeGeometry *propTimeGeometry = dynamic_cast<ProportionalTimeGeometry *>(timeSlicedGeometry);
  propTimeGeometry->Initialize(slicedGeometry, output->GetDimension(3));

  m_TimeOfHeaderInitialization.Modified();

  output->SetPropertyList(input->GetPropertyList()->Clone());
}

void mitk::AutoCropImageFilter::GenerateData()
{
  mitk::Image::ConstPointer input = this->GetInput();
  mitk::Image::Pointer output = this->GetOutput();

  if (input.IsNull())
    return;

  if (input->GetDimension() <= 2)
  {
    MITK_ERROR << "Only 3D and 4D images supported";
    return;
  }

  if ((output->IsInitialized() == false))
    return;

  if (m_TimeSelector.IsNull())
    m_TimeSelector = mitk::ImageTimeSelector::New();

  m_TimeSelector->SetInput(input);

  mitk::SlicedData::RegionType outputRegion = input->GetRequestedRegion();

  int tstart = outputRegion.GetIndex(3);
  int tmax = tstart + outputRegion.GetSize(3);

  for (int timestep = tstart; timestep < tmax; ++timestep)
  {
    m_TimeSelector->SetTimeNr(timestep);
    m_TimeSelector->UpdateLargestPossibleRegion();

    AccessFixedDimensionByItk_1(m_TimeSelector->GetOutput(), ITKCrop3DImage, 3, timestep);
  }

  // this->GetOutput()->Update(); // Not sure if this is necessary...

  m_TimeOfHeaderInitialization.Modified();
}

void mitk::AutoCropImageFilter::ComputeNewImageBounds()
{
  mitk::Image::ConstPointer inputMitk = this->GetInput();

  if (m_OverrideCroppingRegion)
  {
    for (unsigned int i = 0; i < 3; ++i)
    {
      m_RegionIndex[i] = m_CroppingRegion.GetIndex()[i];
      m_RegionSize[i] = m_CroppingRegion.GetSize()[i];

      if (m_RegionIndex[i] >= static_cast<RegionType::IndexValueType>(inputMitk->GetDimension(i)))
      {
        itkExceptionMacro("Cropping index is not inside the image. " << std::endl
                                                                     << "Index:"
                                                                     << std::endl
                                                                     << m_CroppingRegion.GetIndex()
                                                                     << std::endl
                                                                     << "Size:"
                                                                     << std::endl
                                                                     << m_CroppingRegion.GetSize());
      }

      if (m_RegionIndex[i] + m_RegionSize[i] >= inputMitk->GetDimension(i))
      {
        m_RegionSize[i] = inputMitk->GetDimension(i) - m_RegionIndex[i];
      }
    }

    for (unsigned int i = 0; i < 3; ++i)
    {
      m_RegionIndex[i] = m_CroppingRegion.GetIndex()[i];
      m_RegionSize[i] = m_CroppingRegion.GetSize()[i];
    }
  }
  else
  {
    // Check if a 3D or 4D image is present
    unsigned int timeSteps = 1;
    if (inputMitk->GetDimension() == 4)
      timeSteps = inputMitk->GetDimension(3);

    ImageType::IndexType minima, maxima;

    if (inputMitk->GetDimension() == 4)
    {
      // initialize with time step 0
      m_TimeSelector = mitk::ImageTimeSelector::New();
      m_TimeSelector->SetInput(inputMitk);
      m_TimeSelector->SetTimeNr(0);
      m_TimeSelector->UpdateLargestPossibleRegion();
      inputMitk = m_TimeSelector->GetOutput();
    }

    ImagePointer inputItk = ImageType::New();
    mitk::CastToItkImage(inputMitk, inputItk);

    // it is assumed that all volumes in a time series have the same 3D dimensions
    ImageType::RegionType origRegion = inputItk->GetLargestPossibleRegion();

    // Initialize min and max on the first (or only) time step
    maxima = inputItk->GetLargestPossibleRegion().GetIndex();
    minima[0] = inputItk->GetLargestPossibleRegion().GetSize()[0];
    minima[1] = inputItk->GetLargestPossibleRegion().GetSize()[1];
    minima[2] = inputItk->GetLargestPossibleRegion().GetSize()[2];

    typedef itk::ImageRegionConstIterator<ImageType> ConstIteratorType;

    for (unsigned int idx = 0; idx < timeSteps; ++idx)
    {
      // if 4D image, update time step and itk image
      if (idx > 0)
      {
        m_TimeSelector->SetTimeNr(idx);
        m_TimeSelector->UpdateLargestPossibleRegion();
        inputMitk = m_TimeSelector->GetOutput();
        mitk::CastToItkImage(inputMitk, inputItk);
      }

      ConstIteratorType inIt(inputItk, origRegion);

      for (inIt.GoToBegin(); !inIt.IsAtEnd(); ++inIt)
      {
        float pix_val = inIt.Get();
        if (fabs(pix_val - m_BackgroundValue) > mitk::eps)
        {
          for (int i = 0; i < 3; i++)
          {
            minima[i] = vnl_math_min((int)minima[i], (int)(inIt.GetIndex()[i]));
            maxima[i] = vnl_math_max((int)maxima[i], (int)(inIt.GetIndex()[i]));
          }
        }
      }
    }

    typedef ImageType::RegionType::SizeType::SizeValueType SizeValueType;

    m_RegionSize[0] = (SizeValueType)(m_MarginFactor * (maxima[0] - minima[0] + 1));
    m_RegionSize[1] = (SizeValueType)(m_MarginFactor * (maxima[1] - minima[1] + 1));
    m_RegionSize[2] = (SizeValueType)(m_MarginFactor * (maxima[2] - minima[2] + 1));
    m_RegionIndex = minima;

    m_RegionIndex[0] -= (m_RegionSize[0] - maxima[0] + minima[0] - 1) / 2;
    m_RegionIndex[1] -= (m_RegionSize[1] - maxima[1] + minima[1] - 1) / 2;
    m_RegionIndex[2] -= (m_RegionSize[2] - maxima[2] + minima[2] - 1) / 2;

    ImageType::RegionType cropRegion(m_RegionIndex, m_RegionSize);
    origRegion.Crop(cropRegion);

    m_RegionSize[0] = origRegion.GetSize()[0];
    m_RegionSize[1] = origRegion.GetSize()[1];
    m_RegionSize[2] = origRegion.GetSize()[2];

    m_RegionIndex[0] = origRegion.GetIndex()[0];
    m_RegionIndex[1] = origRegion.GetIndex()[1];
    m_RegionIndex[2] = origRegion.GetIndex()[2];

    m_CroppingRegion = origRegion;
  }
}

void mitk::AutoCropImageFilter::GenerateInputRequestedRegion()
{
}

const mitk::PixelType mitk::AutoCropImageFilter::GetOutputPixelType()
{
  return this->GetInput()->GetPixelType();
}

void mitk::AutoCropImageFilter::SetCroppingRegion(RegionType overrideRegion)
{
  m_CroppingRegion = overrideRegion;
  m_OverrideCroppingRegion = true;
}