public SuperTomograph(IImageLoader bitmapLoader, IEmitterDetectorSystem emitterDetectorSystem,
IDicomCreator dicomCreator)
{
_bitmapLoader = bitmapLoader;
_emitterDetectorSystem = emitterDetectorSystem;
_dicomCreator = dicomCreator;
Configuration = new TomographConfiguration();
DicomInformation = new DicomInformation();
}
public Image <Gray, byte> GetSinogram(Image <Gray, byte> inputImage, TomographConfiguration configuration)
{
int columnsCount = (int)(360 / RadianToDegree(configuration.Alpha));
float[,] brightnessArray = new float[columnsCount, configuration.DetectorsCount];
int width = inputImage.Width - 1;
int height = inputImage.Height - 1;
int radius = Math.Min(width / 2, height / 2);
float angle = 0;
int columnNumber = 0;
while (columnNumber < columnsCount)
{
var emitterCoordinates = new Coordinates()
{
X = (int)(radius * Math.Cos(angle)) + width / 2,
Y = (int)(radius * Math.Sin(angle)) + height / 2
};
for (int i = 0; i < configuration.DetectorsCount; i++)
{
var detectorCoordinates = new Coordinates()
{
X =
(int)
(radius *
Math.Cos(angle + Math.PI - configuration.Phi / 2 +
i * configuration.Phi / (configuration.DetectorsCount - 1))) + width / 2,
Y =
(int)
(radius *
Math.Sin(angle + Math.PI - configuration.Phi / 2 +
i * configuration.Phi / (configuration.DetectorsCount - 1))) + height / 2
};
brightnessArray[columnNumber, i] = GetBrightness(inputImage, emitterCoordinates, detectorCoordinates);
}
columnNumber++;
angle += configuration.Alpha;
}
if (configuration.Filter)
{
FilterArray(brightnessArray, configuration.KernelSize);
}
NormalizeArray(brightnessArray);
return(GetImageFromBrightnessArray(brightnessArray));
}
public IEnumerable <Image <Gray, byte> > GetOutputImagesFromSinogram(Image <Gray, byte> inputImage, Image <Gray, byte> sinogram, TomographConfiguration configuration)
{
var outputImages = new List <Image <Gray, byte> >();
float[,] brightnessArray = new float[inputImage.Width, inputImage.Height];
int[,] countArray = new int[inputImage.Width, inputImage.Height];
int width = inputImage.Width - 1;
int height = inputImage.Height - 1;
int radius = Math.Min(width / 2, height / 2);
float angle = 0;
int columnNumber = 0;
while (columnNumber < sinogram.Width)
{
var emitterCoordinates = new Coordinates()
{
X = (int)(radius * Math.Cos(angle)) + width / 2,
Y = (int)(radius * Math.Sin(angle)) + height / 2
};
for (int i = 0; i < configuration.DetectorsCount; i++)
{
var detectorCoordinates = new Coordinates()
{
X =
(int)
(radius *
Math.Cos(angle + Math.PI - configuration.Phi / 2 +
i * configuration.Phi / (configuration.DetectorsCount - 1))) + width / 2,
Y =
(int)
(radius *
Math.Sin(angle + Math.PI - configuration.Phi / 2 +
i * configuration.Phi / (configuration.DetectorsCount - 1))) + height / 2
};
float brightnessValue = sinogram.Data[i, columnNumber, 0];
DrawLine(brightnessArray, brightnessValue, countArray, emitterCoordinates, detectorCoordinates);
}
if ((columnNumber + 1) % (sinogram.Width / configuration.OutputImagesCount) == 0)
{
var currentBrigthnessArray = (float[, ])brightnessArray.Clone();
DivideArray(currentBrigthnessArray, countArray);
NormalizeArray(currentBrigthnessArray);
outputImages.Add(GetImageFromBrightnessArray(currentBrigthnessArray));
}
columnNumber++;
angle += configuration.Alpha;
}
return(outputImages);
}
