/// <inheritdoc/>
public Image ResampleImage2D(Image image, int outputSize)
{
Ensure.ArgumentNotNull(image, nameof(image));
var dimension = image.GetDimension();
if (dimension != 2)
{
throw new NotSupportedException($"The dimension ({dimension}) of the provided image is not supported.");
}
var inputSize = image.GetSize();
var inputSpacing = image.GetSpacing();
var inputDirection = image.GetDirection();
var inputOrigin = image.GetOrigin();
double oldw = inputSize[0] * inputSpacing[0];
double oldh = inputSize[1] * inputSpacing[1];
double neww, newh = 0;
double rw = oldw / outputSize;
double rh = oldh / outputSize;
if (rw > rh)
{
newh = oldh / rw;
neww = outputSize;
}
else
{
neww = oldw / rh;
newh = outputSize;
}
var outputSpacing = new VectorDouble()
{
inputSpacing[0] * inputSize[0] / neww,
inputSpacing[1] * inputSize[1] / newh
};
var actualSize = new VectorUInt32()
{
Convert.ToUInt32(neww),
Convert.ToUInt32(newh)
};
// https://itk.org/ITKExamples/src/Filtering/ImageGrid/ResampleAnImage/Documentation.html
ResampleImageFilter filter = new ResampleImageFilter();
filter.SetReferenceImage(image);
filter.SetSize(actualSize);
filter.SetOutputSpacing(outputSpacing);
Image output = filter.Execute(image);
filter.Dispose();
return(output);
}
/// <inheritdoc/>
public Image ResampleImage3D(Image image, int outputSize)
{
Ensure.ArgumentNotNull(image, nameof(image));
var dimension = image.GetDimension();
if (dimension != 3)
{
throw new NotSupportedException($"The dimension ({dimension}) of the provided image is not supported.");
}
var outputSizeConverted = Convert.ToUInt32(outputSize);
var inputSize = image.GetSize();
var inputSpacing = image.GetSpacing();
var desiredSize = new VectorUInt32()
{
outputSizeConverted,
outputSizeConverted,
outputSizeConverted
};
var outputSpacing = new VectorDouble()
{
inputSpacing[0] * inputSize[0] / desiredSize[0],
inputSpacing[1] * inputSize[1] / desiredSize[1],
inputSpacing[2] * inputSize[2] / desiredSize[2]
};
// https://itk.org/Wiki/ITK/Examples/ImageProcessing/ResampleImageFilter
ResampleImageFilter filter = new ResampleImageFilter();
filter.SetReferenceImage(image);
filter.SetTransform(new ScaleTransform(image.GetDimension()));
filter.SetInterpolator(InterpolatorEnum.sitkLinear);
filter.SetSize(desiredSize);
filter.SetOutputSpacing(outputSpacing);
Image output = filter.Execute(image);
filter.Dispose();
return(output);
}
/// <summary>
/// Resamples the three-dimensional ITK image to the desired size.
/// </summary>
/// <param name="image">The three-dimensional ITK image.</param>
/// <param name="desiredSize">The desired size.</param>
/// <returns>
/// The resampled three-dimensional ITK image.
/// </returns>
/// <exception cref="ArgumentNullException">image</exception>
/// <exception cref="NotSupportedException">The dimension ({dimension}) of the provided image is not supported.</exception>
public Image ResampleImage3D(Image image, uint desiredSize)
{
if (image == null)
{
throw new ArgumentNullException(nameof(image));
}
var dimension = image.GetDimension();
if (dimension != 3)
{
throw new NotSupportedException($"The dimension ({dimension}) of the provided image is not supported.");
}
var inputSize = image.GetSize();
var inputSpacing = image.GetSpacing();
var outputSize = new VectorUInt32()
{
desiredSize,
desiredSize,
desiredSize
};
var outputSpacing = new VectorDouble()
{
inputSpacing[0] * inputSize[0] / outputSize[0],
inputSpacing[1] * inputSize[1] / outputSize[1],
inputSpacing[2] * inputSize[2] / outputSize[2]
};
// https://itk.org/Wiki/ITK/Examples/ImageProcessing/ResampleImageFilter
var filter = new ResampleImageFilter();
filter.SetReferenceImage(image);
filter.SetTransform(new ScaleTransform(image.GetDimension()));
filter.SetInterpolator(InterpolatorEnum.sitkLinear);
filter.SetSize(outputSize);
filter.SetOutputSpacing(outputSpacing);
return(filter.Execute(image));
}
/// <summary>
/// Resamples the two-dimensional ITK image to the desired size.
/// </summary>
/// <param name="image">The two-dimensional ITK image.</param>
/// <param name="desiredSize">The desired size.</param>
/// <returns>
/// The resampled two-dimensional ITK image.
/// </returns>
/// <exception cref="ArgumentNullException">image</exception>
/// <exception cref="NotSupportedException">The dimension ({dimension}) of the provided image is not supported.</exception>
public Image ResampleImage2D(Image image, uint desiredSize)
{
if (image == null)
{
throw new ArgumentNullException(nameof(image));
}
var dimension = image.GetDimension();
if (dimension != 2)
{
throw new NotSupportedException($"The dimension ({dimension}) of the provided image is not supported.");
}
var inputSize = image.GetSize();
var inputSpacing = image.GetSpacing();
var inputDirection = image.GetDirection();
var inputOrigin = image.GetOrigin();
var outputSize = new VectorUInt32()
{
desiredSize,
desiredSize
};
double oldw = inputSize[0] * inputSpacing[0];
double oldh = inputSize[1] * inputSpacing[1];
double neww, newh = 0;
double rw = oldw / desiredSize;
double rh = oldh / desiredSize;
if (rw > rh)
{
newh = oldh / rw;
neww = desiredSize;
}
else
{
neww = oldw / rh;
newh = desiredSize;
}
var outputSpacing = new VectorDouble()
{
inputSpacing[0] * inputSize[0] / neww,
inputSpacing[1] * inputSize[1] / newh
};
var actualSize = new VectorUInt32()
{
(uint)neww,
(uint)newh
};
// https://itk.org/ITKExamples/src/Filtering/ImageGrid/ResampleAnImage/Documentation.html
var resampleFilter = new ResampleImageFilter();
resampleFilter.SetReferenceImage(image);
resampleFilter.SetSize(actualSize);
resampleFilter.SetOutputSpacing(outputSpacing);
var outputImage = resampleFilter.Execute(image);
return(outputImage);
}