private static void TestVolume(bool signed, VolumeFunction f, IEnumerable <IVolumeSlicerParams> slicerParams, string testName, ImageKernelFunction imageKernel, VolumeKernelFunction volumeKernel)
{
const int FULL_SCALE = 65535;
VolumeFunction normalizedFunction = f.Normalize(100);
using (Volume volume = normalizedFunction.CreateVolume(100, signed))
{
float offset = signed ? -32768 : 0;
foreach (IVolumeSlicerParams slicing in slicerParams)
{
List <double> list = new List <double>();
using (VolumeSlicer slicer = new VolumeSlicer(volume, slicing))
{
foreach (ISopDataSource slice in slicer.CreateSliceSops())
{
using (ImageSop imageSop = new ImageSop(slice))
{
foreach (IPresentationImage image in PresentationImageFactory.Create(imageSop))
{
IImageSopProvider imageSopProvider = (IImageSopProvider)image;
IImageGraphicProvider imageGraphicProvider = (IImageGraphicProvider)image;
DicomImagePlane dip = DicomImagePlane.FromImage(image);
for (int y = 1; y < imageSopProvider.Frame.Rows - 1; y++)
{
for (int x = 1; x < imageSopProvider.Frame.Columns - 1; x++)
{
// pixels on the extreme sides of the volume tend to have more interpolation error due to MPR padding values
Vector3D vector = dip.ConvertToPatient(new PointF(x, y)); // +new Vector3D(-0.5f, -0.5f, 0);
if (Between(vector.X, 1, 98) && Between(vector.Y, 1, 98) && Between(vector.Z, 1, 98))
{
float expected = volumeKernel.Invoke(normalizedFunction, vector.X, vector.Y, vector.Z) + offset;
float actual = imageKernel.Invoke(imageGraphicProvider.ImageGraphic.PixelData, x, y);
list.Add(Math.Abs(expected - actual));
}
}
}
image.Dispose();
}
}
slice.Dispose();
}
}
Statistics stats = new Statistics(list);
Trace.WriteLine(string.Format("Testing {0}", testName));
Trace.WriteLine(string.Format("\tFunction/Slicing: {0} / {1}", normalizedFunction.Name, slicing.Description));
Trace.WriteLine(string.Format("\t Pixel Rep: {0}", signed ? "signed" : "unsigned"));
Trace.WriteLine(string.Format("\t Voxels Compared: {0}", list.Count));
Trace.WriteLine(string.Format("\t Mean Delta: {0:f2} ({1:p2} of full scale)", stats.Mean, stats.Mean / FULL_SCALE));
Trace.WriteLine(string.Format("\t StdDev Delta: {0:f2} ({1:p2} of full scale)", stats.StandardDeviation, stats.StandardDeviation / FULL_SCALE));
Assert.Less(stats.Mean, FULL_SCALE * 0.05, "Mean delta exceeds 5% of full scale ({0})", FULL_SCALE);
Assert.Less(stats.StandardDeviation, FULL_SCALE * 0.05, "StdDev delta exceeds 5% of full scale ({0})", FULL_SCALE);
}
}
}
public ISopDataSource[] CreateSops(bool signed, Modality modality, Vector3D voxelSpacing, Vector3D sliceAxisX, Vector3D sliceAxisY, Vector3D sliceAxisZ)
{
var seriesInstanceUid = DicomUid.GenerateUid().UID;
var slicerParams = new VolumeSlicerParams(sliceAxisX, sliceAxisY, sliceAxisZ);
var volume = CreateVolume(signed, modality, voxelSpacing);
using (VolumeSlicer slicer = new VolumeSlicer(volume, slicerParams))
{
return(new List <ISopDataSource>(slicer.CreateSliceSops(seriesInstanceUid)).ToArray());
}
}
protected static void ValidateVolumeSlicePoints(Volumes.Volume volume, IVolumeSlicerParams slicerParams, IList <KnownSample> expectedPoints,
double xAxialGantryTilt, double yAxialGantryTilt, bool gantryTiltInDegrees)
{
if (gantryTiltInDegrees)
{
xAxialGantryTilt *= Math.PI / 180;
yAxialGantryTilt *= Math.PI / 180;
}
Trace.WriteLine(string.Format("Using slice plane: {0}", slicerParams.Description));
using (VolumeSlicer slicer = new VolumeSlicer(volume, slicerParams))
{
foreach (ISopDataSource slice in slicer.CreateSliceSops())
{
using (ImageSop imageSop = new ImageSop(slice))
{
foreach (IPresentationImage image in PresentationImageFactory.Create(imageSop))
{
IImageGraphicProvider imageGraphicProvider = (IImageGraphicProvider)image;
DicomImagePlane dip = DicomImagePlane.FromImage(image);
foreach (KnownSample sample in expectedPoints)
{
Vector3D patientPoint = sample.Point;
if (xAxialGantryTilt != 0 && yAxialGantryTilt == 0)
{
float cos = (float)Math.Cos(xAxialGantryTilt);
float sin = (float)Math.Sin(xAxialGantryTilt);
patientPoint = new Vector3D(patientPoint.X,
patientPoint.Y * cos + (xAxialGantryTilt > 0 ? 100 * sin : 0),
patientPoint.Z / cos - patientPoint.Y * sin - (xAxialGantryTilt > 0 ? 100 * sin * sin / cos : 0));
}
else if (yAxialGantryTilt != 0)
{
Assert.Fail("Unit test not designed to work with gantry tilts about Y (i.e. slew)");
}
Vector3D slicedPoint = dip.ConvertToImagePlane(patientPoint);
if (slicedPoint.Z > -0.5 && slicedPoint.Z < 0.5)
{
int actual = imageGraphicProvider.ImageGraphic.PixelData.GetPixel((int)slicedPoint.X, (int)slicedPoint.Y);
Trace.WriteLine(string.Format("Sample {0} @{1} (SLICE: {2}; PATIENT: {3})", actual, FormatVector(sample.Point), FormatVector(slicedPoint), FormatVector(patientPoint)));
Assert.AreEqual(sample.Value, actual, "Wrong colour sample @{0}", sample.Point);
}
}
image.Dispose();
}
}
slice.Dispose();
}
}
}
protected static void ValidateVolumeSlicePoints(Volumes.Volume volume, IVolumeSlicerParams slicerParams, IList<KnownSample> expectedPoints,
double xAxialGantryTilt, double yAxialGantryTilt, bool gantryTiltInDegrees)
{
if (gantryTiltInDegrees)
{
xAxialGantryTilt *= Math.PI/180;
yAxialGantryTilt *= Math.PI/180;
}
Trace.WriteLine(string.Format("Using slice plane: {0}", slicerParams.Description));
using (VolumeSlicer slicer = new VolumeSlicer(volume, slicerParams))
{
foreach (ISopDataSource slice in slicer.CreateSliceSops())
{
using (ImageSop imageSop = new ImageSop(slice))
{
foreach (IPresentationImage image in PresentationImageFactory.Create(imageSop))
{
IImageGraphicProvider imageGraphicProvider = (IImageGraphicProvider) image;
DicomImagePlane dip = DicomImagePlane.FromImage(image);
foreach (KnownSample sample in expectedPoints)
{
Vector3D patientPoint = sample.Point;
if (xAxialGantryTilt != 0 && yAxialGantryTilt == 0)
{
float cos = (float) Math.Cos(xAxialGantryTilt);
float sin = (float) Math.Sin(xAxialGantryTilt);
patientPoint = new Vector3D(patientPoint.X,
patientPoint.Y*cos + (xAxialGantryTilt > 0 ? 100*sin : 0),
patientPoint.Z/cos - patientPoint.Y*sin - (xAxialGantryTilt > 0 ? 100*sin*sin/cos : 0));
}
else if (yAxialGantryTilt != 0)
{
Assert.Fail("Unit test not designed to work with gantry tilts about Y (i.e. slew)");
}
Vector3D slicedPoint = dip.ConvertToImagePlane(patientPoint);
if (slicedPoint.Z > -0.5 && slicedPoint.Z < 0.5)
{
int actual = imageGraphicProvider.ImageGraphic.PixelData.GetPixel((int) slicedPoint.X, (int) slicedPoint.Y);
Trace.WriteLine(string.Format("Sample {0} @{1} (SLICE: {2}; PATIENT: {3})", actual, FormatVector(sample.Point), FormatVector(slicedPoint), FormatVector(patientPoint)));
Assert.AreEqual(sample.Value, actual, "Wrong colour sample @{0}", sample.Point);
}
}
image.Dispose();
}
}
slice.Dispose();
}
}
}
private static void TestVolume(bool signed, VolumeFunction f, IEnumerable<IVolumeSlicerParams> slicerParams, string testName, ImageKernelFunction imageKernel, VolumeKernelFunction volumeKernel)
{
const int FULL_SCALE = 65535;
VolumeFunction normalizedFunction = f.Normalize(100);
using (Volume volume = normalizedFunction.CreateVolume(100, signed))
{
float offset = signed ? -32768 : 0;
foreach (IVolumeSlicerParams slicing in slicerParams)
{
List<double> list = new List<double>();
using (VolumeSlicer slicer = new VolumeSlicer(volume, slicing))
{
foreach (ISopDataSource slice in slicer.CreateSliceSops())
{
using (ImageSop imageSop = new ImageSop(slice))
{
foreach (IPresentationImage image in PresentationImageFactory.Create(imageSop))
{
IImageSopProvider imageSopProvider = (IImageSopProvider) image;
IImageGraphicProvider imageGraphicProvider = (IImageGraphicProvider) image;
DicomImagePlane dip = DicomImagePlane.FromImage(image);
for (int y = 1; y < imageSopProvider.Frame.Rows - 1; y++)
{
for (int x = 1; x < imageSopProvider.Frame.Columns - 1; x++)
{
// pixels on the extreme sides of the volume tend to have more interpolation error due to MPR padding values
Vector3D vector = dip.ConvertToPatient(new PointF(x, y)); // +new Vector3D(-0.5f, -0.5f, 0);
if (Between(vector.X, 1, 98) && Between(vector.Y, 1, 98) && Between(vector.Z, 1, 98))
{
float expected = volumeKernel.Invoke(normalizedFunction, vector.X, vector.Y, vector.Z) + offset;
float actual = imageKernel.Invoke(imageGraphicProvider.ImageGraphic.PixelData, x, y);
list.Add(Math.Abs(expected - actual));
}
}
}
image.Dispose();
}
}
slice.Dispose();
}
}
Statistics stats = new Statistics(list);
Trace.WriteLine(string.Format("Testing {0}", testName));
Trace.WriteLine(string.Format("\tFunction/Slicing: {0} / {1}", normalizedFunction.Name, slicing.Description));
Trace.WriteLine(string.Format("\t Pixel Rep: {0}", signed ? "signed" : "unsigned"));
Trace.WriteLine(string.Format("\t Voxels Compared: {0}", list.Count));
Trace.WriteLine(string.Format("\t Mean Delta: {0:f2} ({1:p2} of full scale)", stats.Mean, stats.Mean/FULL_SCALE));
Trace.WriteLine(string.Format("\t StdDev Delta: {0:f2} ({1:p2} of full scale)", stats.StandardDeviation, stats.StandardDeviation/FULL_SCALE));
Assert.Less(stats.Mean, FULL_SCALE*0.05, "Mean delta exceeds 5% of full scale ({0})", FULL_SCALE);
Assert.Less(stats.StandardDeviation, FULL_SCALE*0.05, "StdDev delta exceeds 5% of full scale ({0})", FULL_SCALE);
}
}
}