WaterPreCorrection

From Openrtk
Jump to navigation Jump to search

This example illustrates how to apply empirical cupping correction using the algorithm of Kachelriess et al. named WaterPrecorrection in RTK. The example uses a Gate simulation using the fixed forced detection actor.

The simulation implements a 120 kV beam, a detector with 512x3 pixels and an energy response curve. Only the primary beam is simulated.

Python wrapping

This version uses the Python wrapping. The simulation files, the output projections and the processing script are available in the archive [1]. 

#!/usr/bin/env python

import itk
from itk import RTK as rtk
import os
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
import scipy.optimize
import glob

# Script parameters
dir = "output/"
spacingVol = [ 0.5, 0.5, 0.5 ]
sizeOutputVol = [ 512, 1, 512 ]
order = 6;
refMu = 0.02;
originVol = [ -(sizeOutputVol[0]/2+0.5)*spacingVol[0], 0., -(sizeOutputVol[2]/2+0.5)*spacingVol[2]]

# List of filenames
fileNames = list()
for file in os.listdir(dir):
    if file.startswith("attenuation") and file.endswith(".mha"):
        fileNames.append(dir + file)

# Read in full geometry
geometryReader = rtk.ThreeDCircularProjectionGeometryXMLFileReader.New()
geometryReader.SetFilename ( "output/geometry.xml" )
geometryReader.GenerateOutputInformation()
geometry = geometryReader.GetGeometry();

ImageType = itk.Image[itk.F,3]
projReader = rtk.ProjectionsReader[ImageType].New()
projReader.SetFileNames(fileNames)

constantImageSource = rtk.ConstantImageSource[ImageType].New()
constantImageSource.SetOrigin( originVol )
constantImageSource.SetSpacing( spacingVol )
constantImageSource.SetSize( sizeOutputVol )
constantImageSource.SetConstant(0.)

# Create template
drawCyl = rtk.DrawEllipsoidImageFilter[ImageType, ImageType].New()
drawCyl.SetInput(constantImageSource.GetOutput())
drawCyl.SetDensity(refMu)
drawCyl.SetAngle(0)
drawCyl.SetAxis([100, 0, 100])
drawCyl.SetCenter([0, 0, 0])
drawCyl.Update()
template = drawCyl.GetOutput()
itk.imwrite(template, 'template.mha')
template = itk.GetArrayFromImage(template).flatten()

# Create weights (where the template should match)
drawCyl.SetDensity(1)
drawCyl.SetAngle(0)
drawCyl.SetAxis([125, 0, 125])
drawCyl.Update()
weights = drawCyl.GetOutput()
weights.DisconnectPipeline()

drawCyl.SetInput(weights)
drawCyl.SetDensity(-1)
drawCyl.SetAngle(0)
drawCyl.SetAxis([102, 0, 102])
drawCyl.Update()
weights = drawCyl.GetOutput()
weights.DisconnectPipeline()

drawCyl.SetInput(weights)
drawCyl.SetDensity(1)
drawCyl.SetAngle(0)
drawCyl.SetAxis([98, 0, 98])
weights = drawCyl.GetOutput()

itk.imwrite(weights, 'weights.mha')
weights = itk.GetArrayFromImage(weights).flatten()

# Create reconstructed images
waterPre = rtk.WaterPrecorrectionImageFilter[ImageType,ImageType].New()
wpcoeffs = np.zeros((order+1))

fdkFilter = rtk.FDKConeBeamReconstructionFilter[ImageType].New()
fdkFilter.SetGeometry( geometry )
fdkFilter.SetInput(0,constantImageSource.GetOutput())
fdkFilter.SetInput(1,waterPre.GetOutput())

fdks = [None] * (order+1)
for o in range(0,order+1):
    wpcoeffs[o-1] = 0.
    wpcoeffs[o] = 1.
    waterPre.SetCoefficients(wpcoeffs)
    waterPre.SetInput(projReader.GetOutput())
    fdkFilter.Update()
    fdk = fdkFilter.GetOutput()
    itk.imwrite(fdk, 'fdk%d.mha' % o )
    fdks[o] = itk.GetArrayFromImage(fdk).flatten()

# Create and solve the linear system of equation B.c= a to find the coeffs c 
a = np.zeros((order+1))
B = np.zeros((order+1,order+1))
for i in range(0,order+1):
    a[i] = np.sum(weights * fdks[i] * template)    
    for j in np.arange(i,order+1):
        B[i,j] = np.sum(weights * fdks[i] * fdks[j])
        B[j,i] = B[i,j]    
c = np.linalg.solve(B,a)

waterPre.SetCoefficients(c)
fdkFilter.Update()
itk.imwrite(fdkFilter.GetOutput(), 'fdk.mha' )

fdk = itk.imread('fdk.mha')
fdk1 = itk.imread('fdk1.mha')

plt.plot(itk.GetArrayFromImage(fdk)[:,0,256], label='Corrected')
plt.plot(itk.GetArrayFromImage(fdk1)[:,0,256], label='Uncorrected')
plt.legend()
plt.xlabel('Pixel number')
plt.ylabel('Attenuation')
plt.xlim(0,512)
plt.savefig('profile.png')

The resulting central profiles are

Profile.png

SimpleRTK wrapping

This version is outdated and uses SimpleRTK. The simulation files, the output projections and the processing script are available in the archive beam_hardening.tgz. 

#!/usr/bin/env python
from __future__ import print_function
import SimpleRTK as srtk
import os
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
import scipy.optimize
import glob

# Script parameters
dir = "output/"
spacingVol = [ 0.5, 0.5, 0.5 ]
sizeOutputVol = [ 512, 1, 512 ]
order = 6;
refMu = 0.02;
originVol = [ -(sizeOutputVol[0]/2+0.5)*spacingVol[0], 0., -(sizeOutputVol[2]/2+0.5)*spacingVol[2]]

# List of filenames
fileNames = srtk.VectorString(0)
for file in os.listdir(dir):
    if file.startswith("attenuation") and file.endswith(".mha"):
        fileNames.push_back(dir + file)

# Read in full geometry
geometryReader = srtk.ThreeDCircularProjectionGeometryXMLFileReader()
geometryReader.SetFileName ( "output/geometry.xml" )
geometry = geometryReader.Execute ( );

projReader = srtk.ProjectionsReader()
projReader.SetFileNames(fileNames)

constantImageSource = srtk.ConstantImageSource()
constantImageSource.SetOrigin( originVol )
constantImageSource.SetSpacing( spacingVol )
constantImageSource.SetSize( sizeOutputVol )
constantImageSource.SetConstant(0.)

writer = srtk.ImageFileWriter()

# Create template
template = constantImageSource.Execute()
drawCyl = srtk.DrawCylinderImageFilter()
drawCyl.SetDensity(refMu)
drawCyl.SetAngle(0)
drawCyl.SetAxis([100, 0, 100])
drawCyl.SetCenter([0, 0, 0])
template = drawCyl.Execute(template)
writer.SetFileName ( 'template.mha')
writer.Execute(template)
template = srtk.GetArrayFromImage(template[:,:,:]).flatten(1)

# Create weights (where the template should match)
weights = constantImageSource.Execute()

drawCyl.SetDensity(1)
drawCyl.SetAngle(0)
drawCyl.SetAxis([125, 0, 125])
weights = drawCyl.Execute(weights)

drawCyl.SetDensity(-1)
drawCyl.SetAngle(0)
drawCyl.SetAxis([102, 0, 102])
weights = drawCyl.Execute(weights)

drawCyl.SetDensity(1)
drawCyl.SetAngle(0)
drawCyl.SetAxis([98, 0, 98])
weights = drawCyl.Execute(weights)

writer.SetFileName ( 'weights.mha')
writer.Execute(weights)
weights = srtk.GetArrayFromImage(weights[:,:,:]).flatten(1)

# Create reconstructed images
waterPre = srtk.WaterPrecorrectionImageFilter()
wpcoeffs = srtk.VectorDouble(order+1, 0)

fdkFilter = srtk.FDKConeBeamReconstructionFilter()
fdkFilter.SetGeometry( geometry )

fdks = [None] * (order+1)
for o in range(0,order+1):
    proj = projReader.Execute();
    wpcoeffs[o-1] = 0.
    wpcoeffs[o] = 1.
    waterPre.SetCoefficients(wpcoeffs)
    proj = waterPre.Execute(proj)  
    sourceVol = constantImageSource.Execute()
    fdk = fdkFilter.Execute( sourceVol, proj )
    writer.SetFileName ( 'fdk%d.mha' % o )
    writer.Execute ( fdk )
    fdks[o] = srtk.GetArrayFromImage(fdk[:,:,:]).flatten(1)

# Create and solve the linear system of equation B.c= a to find the coeffs c 
a = np.zeros((order+1))
B = np.zeros((order+1,order+1))
for i in range(0,order+1):
    a[i] = np.sum(weights * fdks[i] * template)    
    for j in np.arange(i,order+1):
        B[i,j] = np.sum(weights * fdks[i] * fdks[j])
        B[j,i] = B[i,j]    
c = np.linalg.solve(B,a)
proj = projReader.Execute();
waterPre.SetCoefficients(c)
proj = waterPre.Execute(proj)  
sourceVol = constantImageSource.Execute()
fdk = fdkFilter.Execute( sourceVol, proj )
writer.SetFileName ( 'fdk.mha' )
writer.Execute ( fdk )

reader = srtk.ImageFileReader()
reader.SetFileName("fdk.mha")
fdk = reader.Execute()
reader.SetFileName("fdk1.mha")
fdk1 = reader.Execute()

plt.plot(srtk.GetArrayFromImage(fdk)[:,0,256], label='Corrected')
plt.plot(srtk.GetArrayFromImage(fdk1)[:,0,256], label='Uncorrected')
plt.legend()
plt.xlabel('Pixel number')
plt.ylabel('Attenuation')
plt.xlim(0,512)
plt.savefig('profile.png')
Retrieved from "http://wiki.openrtk.org/index.php?title=WaterPreCorrection&oldid=555"