static void Main(string[] args)
{
try {
if (args.Length < 2)
{
Console.WriteLine("Usage: DicomSeriesReader <input_directory> <output_file>");
return;
}
Console.WriteLine("Reading Dicom directory: " + args[0]);
ImageSeriesReader reader = new ImageSeriesReader();
VectorString dicom_names = ImageSeriesReader.GetGDCMSeriesFileNames(args[0]);
reader.SetFileNames(dicom_names);
Image image = reader.Execute();
VectorUInt32 size = image.GetSize();
Console.WriteLine("Image size: " + size[0] + " " + size[1] + " " + size[2]);
Console.WriteLine("Writing image: " + args[1]);
ImageFileWriter writer = new ImageFileWriter();
writer.SetFileName(args[1]);
writer.Execute(image);
if (Environment.GetEnvironmentVariable("SITK_NOSHOW") == null)
{
SimpleITK.Show(image, "Dicom Series");
}
} catch (Exception ex) {
Console.WriteLine("Usage: DicomSeriesReader <input_directory> <output_file>");
Console.WriteLine(ex);
}
}
/// <summary>
/// Initializes the reader asynchronous.
/// </summary>
/// <param name="path">The location of the image.</param>
/// <param name="ct">The cancellation token.</param>
/// <returns>
/// A <see cref="Task" /> representing the asynchronous operation.
/// </returns>
/// <exception cref="ArgumentNullException">
/// path
/// or
/// ct
/// </exception>
/// <exception cref="AmiException">The ITK image could not be read.</exception>
public async Task InitAsync(string path, CancellationToken ct)
{
if (string.IsNullOrWhiteSpace(path))
{
throw new ArgumentNullException(nameof(path));
}
if (ct == null)
{
throw new ArgumentNullException(nameof(ct));
}
await SemaphoreSlim.WaitAsync();
try
{
Image = await itkUtil.ReadImageAsync(path, ct);
if (Image == null)
{
throw new AmiException("The ITK image could not be read.");
}
size = Image.GetSize();
axisImages = new Dictionary <AxisType, Image>();
}
finally
{
SemaphoreSlim.Release();
}
}
public void OnDICOMLoaded(object obj = null)
{
DICOM dicom = obj as DICOM;
if (dicom == null)
{
return;
}
if (dicom.dimensions != 3)
{
return;
}
Image volume = dicom.image;
Debug.Log("Width: " + volume.GetWidth() + ", height: " + volume.GetHeight() + ", depth: " + volume.GetDepth());
VectorUInt32 position = new VectorUInt32 {
volume.GetWidth() / 2,
volume.GetHeight() / 2,
volume.GetDepth() / 2
};
// Asumes that the pixel type stored in the image is grayscale int32:
int value = volume.GetPixelAsInt16(position);
Debug.Log("Value of center pixel: " + value);
}
/// <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);
}
static void Main(string[] args)
{
try {
// Create an image
PixelIDValueEnum pixelType = PixelIDValueEnum.sitkUInt8;
VectorUInt32 imageSize = new VectorUInt32(new uint[] { 128, 128 });
Image image = new Image(imageSize, pixelType);
// Create a face image
VectorDouble faceSize = new VectorDouble(new double[] { 64, 64 });
VectorDouble faceCenter = new VectorDouble(new double[] { 64, 64 });
Image face = SimpleITK.GaussianSource(pixelType, imageSize, faceSize, faceCenter);
// Create eye images
VectorDouble eyeSize = new VectorDouble(new double[] { 5, 5 });
VectorDouble eye1Center = new VectorDouble(new double[] { 48, 48 });
VectorDouble eye2Center = new VectorDouble(new double[] { 80, 48 });
Image eye1 = SimpleITK.GaussianSource(pixelType, imageSize, eyeSize, eye1Center, 150);
Image eye2 = SimpleITK.GaussianSource(pixelType, imageSize, eyeSize, eye2Center, 150);
// Apply the eyes to the face
face = SimpleITK.Subtract(face, eye1);
face = SimpleITK.Subtract(face, eye2);
face = SimpleITK.BinaryThreshold(face, 200, 255, 255);
// Create the mouth
VectorDouble mouthRadii = new VectorDouble(new double[] { 30, 20 });
VectorDouble mouthCenter = new VectorDouble(new double[] { 64, 76 });
Image mouth = SimpleITK.GaussianSource(pixelType, imageSize, mouthRadii, mouthCenter);
mouth = SimpleITK.BinaryThreshold(mouth, 200, 255, 255);
mouth = SimpleITK.Subtract(255, mouth);
// Paste the mouth onto the face
VectorUInt32 mouthSize = new VectorUInt32(new uint[] { 64, 18 });
VectorInt32 mouthLoc = new VectorInt32(new int[] { 32, 76 });
face = SimpleITK.Paste(face, mouth, mouthSize, mouthLoc, mouthLoc);
// Apply the face to the original image
image = SimpleITK.Add(image, face);
// Display the results
if (Environment.GetEnvironmentVariable("SITK_NOSHOW") == null)
{
SimpleITK.Show(image, "Hello World: CSharp", true);
}
} catch (Exception ex) {
Console.WriteLine(ex);
}
}
public Bitmap konwertujObraz(Image obraz1, int przekroj = 0)
{
uint r = obraz1.GetWidth();
// VectorUInt32 w = new VectorUInt32(new[] { r, 512, 4 + 1 });
VectorInt32 start = new VectorInt32(new[] { 0, 0, 0 });
VectorInt32 size1 = new VectorInt32(new[] { 512, 512, 1 });
obraz1 = WybierzPrzekroj(obraz1, przekroj);
IntensityWindowingImageFilter normalize = new IntensityWindowingImageFilter();
normalize.SetOutputMinimum(0);
normalize.SetOutputMaximum(255);
obraz1 = normalize.Execute(obraz1);
PixelIDValueEnum u = PixelIDValueEnum.sitkFloat32;
int len = 1;
Image input = SimpleITK.Cast(obraz1, u);
VectorUInt32 size = input.GetSize();
for (int dim = 0; dim < input.GetDimension(); dim++)
{
len *= (int)size[dim];
}
IntPtr buffer = input.GetBufferAsFloat();
float bufferPtr = (float)buffer.ToInt32();
float[] bufferAsArray = new float[len];
float[,] newData = new float[size[0], size[1]];
Marshal.Copy(buffer, bufferAsArray, 0, len);
obrazBitmap = new Bitmap(Convert.ToInt32(size[0]), Convert.ToInt32(size[1]));
for (int j = 0; j < size[1]; j++)
{
for (int i = 0; i < size[0]; i++)
{
var bur = bufferAsArray[j * size[1] + i];
System.Drawing.Color newColor = System.Drawing.Color.FromArgb((int)bur, 0, 0, 0);
obrazBitmap.SetPixel(j, i, newColor);
}
}
Color s = obrazBitmap.GetPixel(34, 56);
return(obrazBitmap);
}
/// <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));
}
/// <inheritdoc/>
public async Task InitAsync(string path, CancellationToken ct)
{
Ensure.ArgumentNotNull(path, nameof(path));
Ensure.ArgumentNotNull(ct, nameof(ct));
await SemaphoreSlim.WaitAsync();
try
{
Image = await itkUtil.ReadImageAsync(path, ct);
if (Image == null)
{
throw new AmiException("The ITK image could not be read.");
}
size = Image.GetSize();
}
finally
{
SemaphoreSlim.Release();
}
}
static void Main(string[] args)
{
try {
if (args.Length < 1)
{
Console.WriteLine("Usage: ImageIOSelection image_input_file");
return;
}
// Find out which image IOs are supported
ImageFileReader reader = new ImageFileReader();
itk.simple.VectorString image_ios = reader.GetRegisteredImageIOs();
Console.Write("The supported image IOs are: ");
for (int i = 0; i < image_ios.Count; i++)
{
Console.Write(image_ios[i] + " ");
}
Console.WriteLine("\n--------------------");
// Another option is to just print the reader and see which
// IOs are supported
Console.WriteLine(reader.ToString());
Console.WriteLine("--------------------");
// Force the use of a specific IO. If the IO doesn't support
// reading the image type it will throw an exception.
reader.SetImageIO("PNGImageIO");
reader.SetFileName(args[0]);
Image image = reader.Execute();
Console.WriteLine("Read image: " + args[0]);
VectorUInt32 size = image.GetSize();
Console.WriteLine("Image size: " + size[0] + " " + size[1]);
} catch (Exception ex) {
Console.WriteLine("Read failed: " + ex);
}
}
public static int[] fGetDatasetLength()
{
Class.manageImg managerView = HttpContext.Current.Session["managerView"] as Class.manageImg;
String sPath = managerView.sCurrentImageFolder[0];
String[] sFilenames;
if (sPath == null)
{
throw new ArgumentException("path variable in manageImg is not specified!");
}
else
{
sFilenames = (System.IO.Directory.EnumerateFiles(sPath, "*.*", SearchOption.AllDirectories).Where(s => Constant.lsExtensions.Any(e => s.EndsWith(e)))).ToArray();
int[] iSize = new int[] { 0, 0, 0 };
// get dataset length and set hiddenfield
itk.simple.Image itkImage = SimpleITK.ReadImage(sFilenames[0]); // Es wird nur das erste Listenelement ausgelesen?
VectorUInt32 UInt32Size = itkImage.GetSize();
iSize[0] = unchecked ((int)UInt32Size[0]);
iSize[1] = unchecked ((int)UInt32Size[1]);
iSize[2] = unchecked ((int)UInt32Size[2]);
return(iSize);
}
}
static void Main(string[] args)
{
try {
if (args.Length < 1) {
Console.WriteLine("Usage: RTKFirstReconstruction <output>");
return;
}
// Defines the RTK geometry object
ThreeDCircularProjectionGeometry geometry = new ThreeDCircularProjectionGeometry();
uint numberOfProjections = 360;
float firstAngle = 0;
float angularArc = 360;
float sid = 600; // source to isocenter distance in mm
float sdd = 1200; // source to detector distance in mm
float isox = 0; // X coordinate on the projection image of isocenter
float isoy = 0; // Y coordinate on the projection image of isocenter
for (int x = 0; x < numberOfProjections; x++)
{
float angle = firstAngle + x * angularArc / numberOfProjections;
geometry.AddProjection(sid, sdd, angle, isox, isoy);
}
ConstantImageSource constantImageSource = new ConstantImageSource();
VectorDouble origin = new VectorDouble(3);
origin.Add(-127.0);
origin.Add(-127.0);
origin.Add(-127.0);
VectorUInt32 sizeOutput = new VectorUInt32(3);
sizeOutput.Add(256);
sizeOutput.Add(256);
sizeOutput.Add(numberOfProjections);
VectorDouble spacing = new VectorDouble(3);
spacing.Add(1.0);
spacing.Add(1.0);
spacing.Add(1.0);
constantImageSource.SetOrigin(origin);
constantImageSource.SetSpacing(spacing);
constantImageSource.SetSize(sizeOutput);
constantImageSource.SetConstant(0.0);
Image source = constantImageSource.Execute();
RayEllipsoidIntersectionImageFilter rei = new RayEllipsoidIntersectionImageFilter();
VectorDouble semiprincipalaxis = new VectorDouble(3);
semiprincipalaxis.Add(50.0);
semiprincipalaxis.Add(50.0);
semiprincipalaxis.Add(50.0);
VectorDouble center = new VectorDouble(3);
center.Add(0.0);
center.Add(0.0);
center.Add(0.0);
// Set GrayScale value, axes, center...
rei.SetDensity(20);
rei.SetAngle(0);
rei.SetCenter(center);
rei.SetAxis(semiprincipalaxis);
rei.SetGeometry(geometry);
Image reiImage = rei.Execute(source);
// Create reconstructed image
ConstantImageSource constantImageSource2 = new ConstantImageSource();
VectorUInt32 sizeOutput2 = new VectorUInt32(3);
sizeOutput2.Add(256);
sizeOutput2.Add(256);
sizeOutput2.Add(256);
constantImageSource2.SetOrigin(origin);
constantImageSource2.SetSpacing(spacing);
constantImageSource2.SetSize(sizeOutput2);
constantImageSource2.SetConstant(0.0);
Image source2 = constantImageSource2.Execute();
Console.WriteLine("Performing reconstruction");
FDKConeBeamReconstructionFilter feldkamp = new FDKConeBeamReconstructionFilter();
feldkamp.SetGeometry(geometry);
feldkamp.SetTruncationCorrection(0.0);
feldkamp.SetHannCutFrequency(0.0);
Image image = feldkamp.Execute(source2, reiImage);
ImageFileWriter writer = new ImageFileWriter();
writer.SetFileName(args[0]);
writer.Execute(image);
} catch (Exception ex) {
Console.WriteLine(ex);
}
}
/// <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);
}
/// <summary>Main entry point.</summary>
public static int Main(string[] args)
{
int success = ExitSuccess;
try {
Image image = new Image(100, 100, PixelId.sitkInt8);
Image image2 = new Image(100, 100, PixelId.sitkInt8);
image += 10;
image -= 1;
CheckHash(image, "1cda91cc1bf474a25d6365f7fa7ef1fc75b3c7c9", ref success);
image *= 2;
image /= 3;
CheckHash(image, "856f68940ff670209aa9d60f38fc4cca1880f647", ref success);
// image with just one 7 reset zero
image *= 0;
VectorUInt32 idx = new VectorUInt32();
idx.Add(0);
idx.Add(0);
image.SetPixelAsInt8( idx, 7 );
// Unary operators
CheckHash(-image, "fe7e0c8ac8252189cf5766a352397bc62dd42e4d", ref success);
CheckHash(+image, "6cccaa2d5c958e79ebd5ca4a0b00bee747797c8d", ref success);
CheckHash(!image, "f4695dbf5bc9ea2796b2e4f360ea4b5ecbf70c37", ref success);
CheckHash(~image, "746470f03126f653cc23265e0b1c1fe16a952745", ref success);
CheckHash(image, "6cccaa2d5c958e79ebd5ca4a0b00bee747797c8d", ref success);
// Comparison operators
CheckHash( image < 7, "f4695dbf5bc9ea2796b2e4f360ea4b5ecbf70c37", ref success);
CheckHash( image > 7, "f907b7bf318b79fd6b9da589646f8b1dac77d0c8", ref success);
CheckHash( image <= 7, "cef864600fc947062ac359fe9a7cc049c7273b8e", ref success);
CheckHash( image >= 7, "52f583bfeb07a6c4c5a26b28f8ae180bf8e0079b", ref success);
CheckHash( image < image2, "f907b7bf318b79fd6b9da589646f8b1dac77d0c8", ref success);
CheckHash( image > image2, "52f583bfeb07a6c4c5a26b28f8ae180bf8e0079b", ref success);
CheckHash( image <= image2, "f4695dbf5bc9ea2796b2e4f360ea4b5ecbf70c37", ref success);
CheckHash( image >= image2, "cef864600fc947062ac359fe9a7cc049c7273b8e", ref success);
// Binary bitwise operators
image &= 5;;
image |= 7;
image ^= 8;
CheckHash(image, "0c26e6610c876b83cf681688eb8e80b952a394ce", ref success);
image &= image;
image ^= image;
image |= image;
CheckHash( image, "f907b7bf318b79fd6b9da589646f8b1dac77d0c8", ref success); // just zeros
// image of 1s
image *= 0;
image += 1;
image += image;
image -= image;
image *= image;
image /= image;
CheckHash(image, "287046eafd10b9984977f6888ea50ea50fe846b5", ref success);
} catch (Exception ex) {
success = ExitFailure;
Console.WriteLine(ex);
}
return success;
}
static void Main(string[] args)
{
if (args.Length < 6)
{
Console.WriteLine("Missing Parameters ");
Console.WriteLine("Usage: " + System.AppDomain.CurrentDomain.FriendlyName +
" inputImage outputImage" +
" lowerThreshold upperThreshold seedX seedY [seed2X seed2Y ... ]");
return;
}
string inputFilename = args[0];
string outputFilename = args[1];
double lowerThreshold = double.Parse(args[2], CultureInfo.InvariantCulture);
double upperThreshold = double.Parse(args[3], CultureInfo.InvariantCulture);
//
// Read the image
//
SitkImage inputImage = SimpleITK.ReadImage(inputFilename, PixelIDValueEnum.sitkFloat32);
//
// Blur using CurvatureFlowImageFilter
//
CurvatureFlowImageFilter blurFilter = new sitk.CurvatureFlowImageFilter();
blurFilter.SetNumberOfIterations(5);
blurFilter.SetTimeStep(0.125);
inputImage = blurFilter.Execute(inputImage);
//
// Set up ConnectedThresholdImageFilter for segmentation
//
ConnectedThresholdImageFilter segmentationFilter = new sitk.ConnectedThresholdImageFilter();
segmentationFilter.SetLower(lowerThreshold);
segmentationFilter.SetUpper(upperThreshold);
segmentationFilter.SetReplaceValue(255);
for (uint i = 4; i + 1 < args.Length; i += 2)
{
VectorUInt32 seed = new VectorUInt32(new uint[] { Convert.ToUInt32(args[i]), Convert.ToUInt32(args[i + 1]), 0 });
segmentationFilter.AddSeed(seed);
Console.WriteLine("Adding a seed at: ");
for (int j = 0; j + 1 < seed.Count; j++)
{
Console.WriteLine(seed[j] + " ");
}
}
SitkImage outImage = segmentationFilter.Execute(inputImage);
//
// Write out the resulting file
//
SimpleITK.WriteImage(outImage, outputFilename);
return;
}
static void Main(string[] args)
{
if (args.Length < 9)
{
Console.WriteLine("Missing Parameters ");
Console.WriteLine("Usage: " + System.AppDomain.CurrentDomain.FriendlyName +
" inputImage outputImage seedX seedY " +
" Sigma SigmoidAlpha SigmoidBeta TimeThreshold");
return;
}
string inputFilename = args[0];
string outputFilename = args[1];
uint[] seedPosition = { Convert.ToUInt32(args[2]), Convert.ToUInt32(args[3]), 0 };
double sigma = double.Parse(args[4], CultureInfo.InvariantCulture);
double alpha = double.Parse(args[5], CultureInfo.InvariantCulture);;
double beta = double.Parse(args[6], CultureInfo.InvariantCulture);
double timeThreshold = double.Parse(args[7], CultureInfo.InvariantCulture);
double stoppingTime = double.Parse(args[8], CultureInfo.InvariantCulture);
// Read input image
SitkImage inputImage = SimpleITK.ReadImage(inputFilename, PixelIDValueEnum.sitkFloat32);
// The input image will be processed with a few iterations of
// feature-preserving diffusion. We create a filter and set the
// appropriate parameters.
CurvatureAnisotropicDiffusionImageFilter smoothing = new CurvatureAnisotropicDiffusionImageFilter();
smoothing.SetTimeStep(0.125);
smoothing.SetNumberOfIterations(5);
smoothing.SetConductanceParameter(9.0);
SitkImage smoothingOutput = smoothing.Execute(inputImage);
SitkImage gradientMagnitudeOutput = SimpleITK.GradientMagnitudeRecursiveGaussian(smoothingOutput, sigma);
SitkImage sigmoidOutput = SimpleITK.Sigmoid(gradientMagnitudeOutput, alpha, beta, 1.0, 0.0);
FastMarchingImageFilter fastMarching = new FastMarchingImageFilter();
//VectorUIntList trialPoints; Add trialPoints into list if using multiple seeds. Here we only use one seedpoint
VectorUInt32 trialPoint = new VectorUInt32(3);
trialPoint.Add(seedPosition[0]);
trialPoint.Add(seedPosition[1]);
trialPoint.Add(seedPosition[2]);
fastMarching.AddTrialPoint(trialPoint);
// Since the front representing the contour will propagate continuously
// over time, it is desirable to stop the process once a certain time has
// been reached. This allows us to save computation time under the
// assumption that the region of interest has already been computed. The
// value for stopping the process is defined with the method
// SetStoppingValue(). In principle, the stopping value should be a
// little bit higher than the threshold value.
fastMarching.SetStoppingValue(stoppingTime);
SitkImage fastmarchingOutput = fastMarching.Execute(sigmoidOutput);
BinaryThresholdImageFilter thresholder = new BinaryThresholdImageFilter();
thresholder.SetLowerThreshold(0.0);
thresholder.SetUpperThreshold(timeThreshold);
thresholder.SetOutsideValue(0);
thresholder.SetInsideValue(255);
SitkImage result = thresholder.Execute(fastmarchingOutput);
SimpleITK.WriteImage(result, outputFilename);
}
static void Main(string[] args)
{
try {
if (args.Length < 2)
{
Console.WriteLine("Usage: N4BiasFieldCorrection inputImage outputImage"
+ " [shrinkFactor] [maskImage] [numberOfIterations]"
+ " [numberOfFittingLevels]\n");
return;
}
// Read input image
Image inputImage = sitk.ReadImage(args[0], PixelIDValueEnum.sitkFloat32);
Image image = inputImage;
Image maskImage;
if (args.Length > 3)
{
maskImage = sitk.ReadImage(args[3], PixelIDValueEnum.sitkUInt8);
}
else
{
maskImage = sitk.OtsuThreshold(image, 0, 1, 200);
}
if (args.Length > 2)
{
uint s = UInt32.Parse(args[2]);
uint[] s_array = new uint[image.GetDimension()];
for (uint i = 0; i < image.GetDimension(); i++)
{
s_array[i] = s;
}
VectorUInt32 shrink = new VectorUInt32(s_array);
image = sitk.Shrink(inputImage, shrink);
maskImage = sitk.Shrink(maskImage, shrink);
}
N4BiasFieldCorrectionImageFilter corrector
= new N4BiasFieldCorrectionImageFilter();
uint numFittingLevels = 4;
if (args.Length > 5)
{
numFittingLevels = UInt32.Parse(args[5]);
}
if (args.Length > 4)
{
uint it = UInt32.Parse(args[4]);
uint[] it_array = new uint[numFittingLevels];
for (uint i = 0; i < numFittingLevels; i++)
{
it_array[i] = it;
}
VectorUInt32 iterations = new VectorUInt32(it_array);
corrector.SetMaximumNumberOfIterations(iterations);
}
Image corrected_image = corrector.Execute(image, maskImage);
Image log_bias_field = corrector.GetLogBiasFieldAsImage(inputImage);
Image bias_field = sitk.Divide(inputImage, sitk.Exp(log_bias_field));
sitk.WriteImage(corrected_image, args[1]);
if (Environment.GetEnvironmentVariable("SITK_NOSHOW") == null)
{
SimpleITK.Show(corrected_image, "N4 Corrected");
}
} catch (Exception ex) {
Console.WriteLine(ex);
}
}
static void Main(string[] args)
{
try {
if (args.Length < 1)
{
Console.WriteLine("Usage: RTKFirstReconstruction <output>");
return;
}
// Defines the RTK geometry object
ThreeDCircularProjectionGeometry geometry = new ThreeDCircularProjectionGeometry();
uint numberOfProjections = 360;
float firstAngle = 0;
float angularArc = 360;
float sid = 600; // source to isocenter distance in mm
float sdd = 1200; // source to detector distance in mm
float isox = 0; // X coordinate on the projection image of isocenter
float isoy = 0; // Y coordinate on the projection image of isocenter
for (int x = 0; x < numberOfProjections; x++)
{
float angle = firstAngle + x * angularArc / numberOfProjections;
geometry.AddProjection(sid, sdd, angle, isox, isoy);
}
ConstantImageSource constantImageSource = new ConstantImageSource();
VectorDouble origin = new VectorDouble(3);
origin.Add(-127.0);
origin.Add(-127.0);
origin.Add(-127.0);
VectorUInt32 sizeOutput = new VectorUInt32(3);
sizeOutput.Add(256);
sizeOutput.Add(256);
sizeOutput.Add(numberOfProjections);
VectorDouble spacing = new VectorDouble(3);
spacing.Add(1.0);
spacing.Add(1.0);
spacing.Add(1.0);
constantImageSource.SetOrigin(origin);
constantImageSource.SetSpacing(spacing);
constantImageSource.SetSize(sizeOutput);
constantImageSource.SetConstant(0.0);
Image source = constantImageSource.Execute();
RayEllipsoidIntersectionImageFilter rei = new RayEllipsoidIntersectionImageFilter();
VectorDouble semiprincipalaxis = new VectorDouble(3);
semiprincipalaxis.Add(50.0);
semiprincipalaxis.Add(50.0);
semiprincipalaxis.Add(50.0);
VectorDouble center = new VectorDouble(3);
center.Add(0.0);
center.Add(0.0);
center.Add(0.0);
// Set GrayScale value, axes, center...
rei.SetDensity(20);
rei.SetAngle(0);
rei.SetCenter(center);
rei.SetAxis(semiprincipalaxis);
rei.SetGeometry(geometry);
Image reiImage = rei.Execute(source);
// Create reconstructed image
ConstantImageSource constantImageSource2 = new ConstantImageSource();
VectorUInt32 sizeOutput2 = new VectorUInt32(3);
sizeOutput2.Add(256);
sizeOutput2.Add(256);
sizeOutput2.Add(256);
constantImageSource2.SetOrigin(origin);
constantImageSource2.SetSpacing(spacing);
constantImageSource2.SetSize(sizeOutput2);
constantImageSource2.SetConstant(0.0);
Image source2 = constantImageSource2.Execute();
Console.WriteLine("Performing reconstruction");
FDKConeBeamReconstructionFilter feldkamp = new FDKConeBeamReconstructionFilter();
feldkamp.SetGeometry(geometry);
feldkamp.SetTruncationCorrection(0.0);
feldkamp.SetHannCutFrequency(0.0);
Image image = feldkamp.Execute(source2, reiImage);
ImageFileWriter writer = new ImageFileWriter();
writer.SetFileName(args[0]);
writer.Execute(image);
} catch (Exception ex) {
Console.WriteLine(ex);
}
}
public void ProcessRequest(HttpContext context)
{
// image ID, brightness and contrast value
Int32 iID, iBVal, iRot, iNoFiles;
Double dCVal;
String sPath;
// response type
context.Response.ContentType = "image/png";
// get and convert image parameters
if (context.Request.QueryString["NqC3ke"] != null) // ID
{
iID = Convert.ToInt32(context.Request.QueryString["NqC3ke"]);
}
else
{
throw new ArgumentException("No image id specified");
}
if (context.Request.QueryString["tXt9X3"] != null) // brightness
{
iBVal = Convert.ToInt32(context.Request.QueryString["tXt9X3"]);
}
else
{
throw new ArgumentException("No image brightness specified");
}
if (context.Request.QueryString["XwjRGm"] != null) // contrast
{
dCVal = Convert.ToDouble(context.Request.QueryString["XwjRGm"]);
}
else
{
throw new ArgumentException("No image contrast specified");
}
if (context.Request.QueryString["WkYTCe"] != null) // path
{
string obscuredPath = Convert.ToString(context.Request.QueryString["WkYTCe"]);
string unobscuredPath = "";
// old obfuscation
//for (int z = 0; z < obscuredPath.Length; z++)
//{
// int add = Constant.ceasarOdd;
// if (z % 2 == 0)
// {
// add = Constant.ceasarEven;
// }
// char c = (char)(obscuredPath[z] - add);
// unobscuredPath += c.ToString();
//}
// new obfuscation
string allowedChars = Constant.allowedCharacters;
for (int p = 0; p < obscuredPath.Length; p++)
{
for (int c = 0; c < allowedChars.Length; c++)
{
if (obscuredPath[p] == allowedChars[c])
{ // character is allowed
int add = Constant.ceasarOdd;
if (p % 2 == 0)
{
add = Constant.ceasarEven;
}
// remove unneccessary loops
add = add % (allowedChars.Length - 1);
int shift = c - add;
if (shift > (allowedChars.Length - 1))
{
shift = shift - (allowedChars.Length - 1);
}
else if ((shift) < 0)
{
shift = shift + (allowedChars.Length - 1);
}
char character = allowedChars[shift];
unobscuredPath += character.ToString();
break;
}
}
}
//Debug.Print("deobfuscation\t\t" + obscuredPath + " -> " + unobscuredPath);
sPath = unobscuredPath;
}
else
{
sPath = "";
}
if (context.Request.QueryString["Hsfke2"] != null) // rotate
{
iRot = Convert.ToInt32(context.Request.QueryString["Hsfke2"]);
}
else
{
iRot = 0;
}
if (context.Request.QueryString["yAR8st"] != null) // length
{
iNoFiles = Convert.ToInt32(context.Request.QueryString["yAR8st"]);
}
else
{
iNoFiles = 1;
}
// load image in byte array "bmVal"
//var bOld = false;
byte[] bmVal;
int iWidth;
int iHeight;
int iDepth;
itk.simple.Image itkImage;
if (!File.Exists(sPath))
{
// file was not found
}
try
{
itkImage = SimpleITK.ReadImage(sPath, PixelIDValueEnum.sitkFloat32);
}
catch (System.StackOverflowException)
{
itk.simple.ImageFileReader reader = new itk.simple.ImageFileReader();
reader.SetFileName(sPath);
itkImage = reader.Execute();
}
// get image direction
var iDir = itkImage.GetDirection();
// get spacing
VectorDouble dSpacing = itkImage.GetSpacing();
// get size and number of dimension
VectorUInt32 iSize = itkImage.GetSize();
int len = 1;
for (int iDim = 0; iDim < itkImage.GetDimension(); iDim++)
{
len *= (int)iSize[iDim];
}
iWidth = unchecked ((int)iSize[0]);
iHeight = unchecked ((int)iSize[1]);
iDepth = unchecked ((int)iSize[2]);
// convert mm->dpi
float fResolutionX = System.Convert.ToSingle(System.Convert.ToDouble(iWidth) * 25.4 / dSpacing[0]);
float fResolutionY = System.Convert.ToSingle(System.Convert.ToDouble(iHeight) * 25.4 / dSpacing[1]);
// 2D image size
int iLength = iWidth * iHeight;
// copy buffer to new array
IntPtr ipBuffer = itkImage.GetBufferAsFloat();
float[] fArray = new float[iLength];
// no negative indices
if (iID < 0)
{
iID = 0;
}
// multiple DICOM files
int iOffset = 0;
if (iNoFiles > 1)
{
if (iID >= (iNoFiles - 1))
{
iID = iNoFiles - 1;
}
iOffset = 0;
}
else if (iNoFiles == 1)
{
// one DICOM file
if (iDepth == 1)
{
iID = 1;
iOffset = 0;
}
// one 3D MHD file
else if (iDepth > 1)
{
if (iID > (iDepth - 1))
{
iID = iDepth - 1;
}
iOffset = (iID - 1) * iLength;
}
}
// new pointer to data (due to offset)
Marshal.Copy(new IntPtr(ipBuffer.ToInt64() + sizeof(float) * iOffset), fArray, 0, iLength);
// convert floating point to 8 bit integer values - range:0 - 255
float fMax = fArray.Max();
float fMin = fArray.Min();
bmVal = new byte[iWidth * iHeight];
for (int iI = 0; iI < iLength; iI++)
{
var tmp = (float)(((fArray[iI] - fMin) / (fMax - fMin) * 255) + iBVal) * (float)dCVal;
if (tmp > 255)
{
tmp = 255;
}
if (tmp < 0)
{
tmp = 0;
}
bmVal[iI] = (byte)tmp;
}
Bitmap bmOutput = fCreateBitmap(bmVal, new int[] { iWidth, iHeight }, new float[] { fResolutionX, fResolutionY });
// rotate image and flip in X direction due to different image orientation convention
// corrects *.mhd orientation
List <String> lsExtensions = new List <String> {
".mhd", ".MHD"
};
foreach (var ext in lsExtensions)
{
if (sPath.EndsWith(ext))
{ // *.mhd files have a different orientation (compared to *.ima)
bmOutput.RotateFlip(RotateFlipType.Rotate90FlipNone);
}
}
switch (iRot)
{
case 0:
bmOutput.RotateFlip(RotateFlipType.RotateNoneFlipX);
break;
case 90:
bmOutput.RotateFlip(RotateFlipType.Rotate90FlipX);
break;
case 180:
bmOutput.RotateFlip(RotateFlipType.Rotate180FlipX);
break;
case 270:
bmOutput.RotateFlip(RotateFlipType.Rotate270FlipX);
break;
default:
break;
}
// save new image to response stream
bmOutput.Save(context.Response.OutputStream, ImageFormat.Png);
bmOutput.Dispose();
}
/// <summary>Main entry point.</summary>
public static int Main(string[] args)
{
int success = ExitSuccess;
try {
Image image = new Image(100, 100, PixelId.sitkInt8);
Image image2 = new Image(100, 100, PixelId.sitkInt8);
image += 10;
image -= 1;
CheckHash(image, "1cda91cc1bf474a25d6365f7fa7ef1fc75b3c7c9", ref success);
image *= 2;
image /= 3;
CheckHash(image, "856f68940ff670209aa9d60f38fc4cca1880f647", ref success);
// image with just one 7 reset zero
image *= 0;
VectorUInt32 idx = new VectorUInt32();
idx.Add(0);
idx.Add(0);
image.SetPixelAsInt8(idx, 7);
// Unary operators
CheckHash(-image, "fe7e0c8ac8252189cf5766a352397bc62dd42e4d", ref success);
CheckHash(+image, "6cccaa2d5c958e79ebd5ca4a0b00bee747797c8d", ref success);
CheckHash(!image, "f4695dbf5bc9ea2796b2e4f360ea4b5ecbf70c37", ref success);
CheckHash(~image, "746470f03126f653cc23265e0b1c1fe16a952745", ref success);
CheckHash(image, "6cccaa2d5c958e79ebd5ca4a0b00bee747797c8d", ref success);
// Comparison operators
CheckHash(image < 7, "f4695dbf5bc9ea2796b2e4f360ea4b5ecbf70c37", ref success);
CheckHash(image > 7, "f907b7bf318b79fd6b9da589646f8b1dac77d0c8", ref success);
CheckHash(image <= 7, "cef864600fc947062ac359fe9a7cc049c7273b8e", ref success);
CheckHash(image >= 7, "52f583bfeb07a6c4c5a26b28f8ae180bf8e0079b", ref success);
CheckHash(image < image2, "f907b7bf318b79fd6b9da589646f8b1dac77d0c8", ref success);
CheckHash(image > image2, "52f583bfeb07a6c4c5a26b28f8ae180bf8e0079b", ref success);
CheckHash(image <= image2, "f4695dbf5bc9ea2796b2e4f360ea4b5ecbf70c37", ref success);
CheckHash(image >= image2, "cef864600fc947062ac359fe9a7cc049c7273b8e", ref success);
// Binary bitwise operators
image &= 5;;
image |= 7;
image ^= 8;
CheckHash(image, "0c26e6610c876b83cf681688eb8e80b952a394ce", ref success);
image &= image;
image ^= image;
image |= image;
CheckHash(image, "f907b7bf318b79fd6b9da589646f8b1dac77d0c8", ref success); // just zeros
// image of 1s
image *= 0;
image += 1;
image += image;
image -= image;
image *= image;
image /= image;
CheckHash(image, "287046eafd10b9984977f6888ea50ea50fe846b5", ref success);
} catch (Exception ex) {
success = ExitFailure;
Console.WriteLine(ex);
}
return(success);
}
static void Main(string[] args)
{
if (args.Length < 1)
{
Console.WriteLine("Usage: inputImage outputImage");
return;
}
string inputFilename = args[0];
string outputFilename = args[1];
// Read input image
SitkImage input = SimpleITK.ReadImage(inputFilename);
// Cast so we know the the pixel type
input = SimpleITK.Cast(input, PixelId.sitkFloat32);
// calculate the number of pixels
VectorUInt32 size = input.GetSize();
int len = 1;
for (int dim = 0; dim < input.GetDimension(); dim++)
{
len *= (int)size[dim];
}
IntPtr buffer = input.GetBufferAsFloat();
// There are two ways to access the buffer:
// (1) Access the underlying buffer as a pointer in an "unsafe" block
// (note that in C# "unsafe" simply means that the compiler can not
// perform full type checking), and requires the -unsafe compiler flag
// unsafe {
// float* bufferPtr = (float*)buffer.ToPointer();
// // Now the byte pointer can be accessed as per Brad's email
// // (of course this example is only a 2d single channel image):
// // This is a 1-D array but can be access as a 3-D. Given an
// // image of size [xS,yS,zS], you can access the image at
// // index [x,y,z] as you wish by image[x+y*xS+z*xS*yS],
// // so x is the fastest axis and z is the slowest.
// for (int j = 0; j < size[1]; j++) {
// for (int i = 0; i < size[0]; i++) {
// float pixel = bufferPtr[i + j*size[1]];
// // Do something with pixel here
// }
// }
// }
// (2) Copy the buffer to a "safe" array (i.e. a fully typed array)
// (note that this means memory is duplicated)
float[] bufferAsArray = new float[len]; // Allocates new memory the size of input
Marshal.Copy(buffer, bufferAsArray, 0, len);
double total = 0.0;
for (int j = 0; j < size[1]; j++)
{
for (int i = 0; i < size[0]; i++)
{
float pixel = bufferAsArray[i + j * size[1]];
total += pixel;
}
}
Console.WriteLine("Pixel value total: {0}", total);
// Set buffer of new SimpleITK Image from managed array.
// bufferAsArray could also have come from a bmp,png,etc...
uint width = input.GetWidth();
uint height = input.GetHeight();
SitkImage outImage = new SitkImage(width, height, PixelId.sitkFloat32);
IntPtr outImageBuffer = outImage.GetBufferAsFloat();
Marshal.Copy(bufferAsArray, 0, outImageBuffer, (int)(size[0] * size[1]));
//
// Write out the resulting file
//
outImage = SimpleITK.RescaleIntensity(outImage, 0, 255);
outImage = SimpleITK.Cast(outImage, PixelId.sitkUInt8);
SimpleITK.WriteImage(outImage, outputFilename);
}
static void Main(string[] args)
{
if (args.Length < 1)
{
Console.WriteLine("Usage: SimpleGaussian <input>");
return;
}
// Read input image
itk.simple.Image input = SimpleITK.ReadImage(args[0]);
// Cast to we know the the pixel type
input = SimpleITK.Cast(input, PixelId.sitkFloat32);
// calculate the number of pixels
VectorUInt32 size = input.GetSize();
int len = 1;
for (int dim = 0; dim < input.GetDimension(); dim++)
{
len *= (int)size[dim];
}
IntPtr buffer = input.GetBufferAsFloat();
// Note: C# also has a GetConstBufferAs... methods which do not
// implicitly call MakeUnique.
// There are two ways to access the buffer:
// (1) Access the underlying buffer as a pointer in an "unsafe" block
// (note that in C# "unsafe" simply means that the compiler can not
// perform full type checking), and requires the -unsafe compiler flag
// unsafe {
// float* bufferPtr = (float*)buffer.ToPointer();
// // Now the byte pointer can be accessed as per Brad's email
// // (of course this example is only a 2d single channel image):
// // This is a 1-D array but can be access as a 3-D. Given an
// // image of size [xS,yS,zS], you can access the image at
// // index [x,y,z] as you wish by image[x+y*xS+z*xS*yS],
// // so x is the fastest axis and z is the slowest.
// for (int j = 0; j < size[1]; j++) {
// for (int i = 0; i < size[0]; i++) {
// float pixel = bufferPtr[i + j*size[1]];
// // Do something with pixel here
// }
// }
// }
// (2) Copy the buffer to a "safe" array (i.e. a fully typed array)
// (note that this means memory is duplicated)
float[] bufferAsArray = new float[len]; // Allocates new memory the size of input
Marshal.Copy(buffer, bufferAsArray, 0, len);
double total = 0.0;
for (int j = 0; j < size[1]; j++)
{
for (int i = 0; i < size[0]; i++)
{
float pixel = bufferAsArray[i + j * size[1]];
total += pixel;
}
}
Console.WriteLine("Pixel value total: {0}", total);
}
public static string getListOfPackageImage(int index)
{
Class.manageImg managerView = HttpContext.Current.Session["managerView"] as Class.manageImg;
managerView.currentPageIndex = index;
HttpContext.Current.Session["managerView"] = managerView;
ViewImage_ that = HttpContext.Current.Session["viewImage"] as ViewImage_;
that.updateReference(index);
// set default values
managerView.allImages[index][0].getUnlabelled = new int[] { -1, -1 };
managerView.allImages[index][0].getPercentage = "-";
if (managerView.tc.ActiveLearning) // when active learning is enabled, check if threshold is reached
{
if (DataAccess.DataAccessTestCase.checkThreshold(managerView))
{
return("alert('Active learning procedure has been executed, page index will be reset'); setTimeout(function(){ Reset=true; }, 3000);");
}
}
if (index >= 0 && index <= managerView.iNGroups)
{
managerView.sCurrentImageFolder = new List <String>(managerView.allImages[index].Count);
for (var i = 0; i < managerView.allImages[index].Count; i++)
{
managerView.sCurrentImageFolder.Add(null);
managerView.sCurrentImageFolder[i] = managerView.tc.dbPath + "\\" + managerView.allImages[index][i].Path.Replace('/', '\\'); //- Martin
}
// get the labelscales
for (int i = 0; i < managerView.allImages[index].Count; i++)
{
if (managerView.tc.DiskreteScale)
{
managerView.allImages[index][i].LableDiscrete = DataAccessTestCase.GetDiscreteLabel(managerView.IDUser, managerView.allImages[index][i].IdGroupImage);//pcw
}
else
{
managerView.allImages[index][i].LableContinuous = DataAccessTestCase.GetLableContinuous(managerView.allImages[index][i].IdGroupImage, managerView.IDUser, managerView.allImages[index][i].TypeScaleContinuous);//pcw
}
}
List <String> sPath = managerView.sCurrentImageFolder;
if (sPath == null)
{
throw new ArgumentException("path variable in manageImg is not specified!");
}
else
{
// get paths and dimension of every individual image
for (int i = 0; i < managerView.allImages[index].Count; i++)
{
managerView.allImages[index][i].imagePaths = (System.IO.Directory.EnumerateFiles(sPath[i], "*.*", SearchOption.AllDirectories).Where(s => Constant.lsExtensions.Any(e => s.EndsWith(e)))).ToArray();
Array.Sort(managerView.allImages[index][i].imagePaths);
int[] iSize = new int[] { 0, 0, 0 };
string pfad = managerView.allImages[index][i].imagePaths[0];
itk.simple.Image itkImage = SimpleITK.ReadImage(pfad); // bei DICOM werden nur die Dimensionen des ersten Bildes ausgelesen, diese sind bei den anderen Schichten identisch
VectorUInt32 UInt32Size = itkImage.GetSize();
iSize[0] = unchecked ((int)UInt32Size[0]);
iSize[1] = unchecked ((int)UInt32Size[1]);
if (managerView.allImages[index][i].imagePaths.Length > 1)// for DICOM files
{
iSize[2] = managerView.allImages[index][i].imagePaths.Length;
}
else if (managerView.allImages[index][i].imagePaths.Length == 1)//
{
iSize[2] = unchecked ((int)UInt32Size[2]);
iSize[2]--;
}
managerView.allImages[index][i].imageDimensions = iSize;
}
}
// get index of the next/previous page with not completely labelled images
try {
managerView.allImages[index][0].getNumOfPages = managerView.allImages.Count();
managerView.allImages[index][0].getUnlabelled = getUnlabelled(index);
managerView.allImages[index][0].getPercentage = getCurrPercentage();
}catch (ArgumentOutOfRangeException ex) {
return("alert('An error occurred while trying to load the image package, please contact the administrator');");
}
//Obfuscate image paths
for (int c = 0; c < managerView.allImages[index].Count; c++)
{
for (int z = 0; z < managerView.allImages[index][c].imagePaths.Length; z++)
{
managerView.allImages[index][c].imagePaths[z] = obfuscate(managerView.allImages[index][c].imagePaths[z]);
}
}
// put the array in the JSON format
var json = new JavaScriptSerializer().Serialize(managerView.allImages[index]);
return(json);
//return managerView.allImages[index];
}
else
{
return(null);
}
}
