File: ImageRegistration5.py

package info (click to toggle)
insighttoolkit 3.18.0-5
  • links: PTS, VCS
  • area: main
  • in suites: squeeze
  • size: 110,432 kB
  • ctags: 74,559
  • sloc: cpp: 412,627; ansic: 196,210; fortran: 28,000; python: 3,852; tcl: 2,005; sh: 1,186; java: 583; makefile: 458; csh: 220; perl: 193; xml: 20
file content (166 lines) | stat: -rw-r--r-- 5,323 bytes parent folder | download | duplicates (4)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
#

from InsightToolkit import *

from sys import argv

#
# Read the fixed and moving images using filenames
# from the command line arguments
#
fixedImageReader = itkImageFileReaderF2_New()
movingImageReader = itkImageFileReaderF2_New()

fixedImageReader.SetFileName(  argv[1] )
movingImageReader.SetFileName( argv[2] )

fixedImageReader.Update()
movingImageReader.Update()

fixedImage = fixedImageReader.GetOutput() 
movingImage = movingImageReader.GetOutput()

#
#  Instantiate the classes for the registration framework
#
registration    = itkImageRegistrationMethodF2F2_New()
imageMetric     = itkMeanSquaresImageToImageMetricF2F2_New()
transform       = itkCenteredRigid2DTransform_New()
optimizer       = itkRegularStepGradientDescentOptimizer_New()
interpolator    = itkLinearInterpolateImageFunctionF2D_New()

registration.SetOptimizer(      optimizer.GetPointer() )
registration.SetTransform(      transform.GetPointer() )
registration.SetInterpolator(   interpolator.GetPointer() )
registration.SetMetric(         imageMetric.GetPointer() )
registration.SetFixedImage(  fixedImage )
registration.SetMovingImage( movingImage )
registration.SetFixedImageRegion(  fixedImage.GetBufferedRegion() )


#
# Initial transform parameters 
#
transform.SetAngle( 0.0 );

# center of the fixed image
fixedSpacing = fixedImage.GetSpacing()
fixedOrigin = fixedImage.GetOrigin()
fixedSize = fixedImage.GetLargestPossibleRegion().GetSize()

centerFixed = ( fixedOrigin.GetElement(0) + fixedSpacing.GetElement(0) * fixedSize.GetElement(0) / 2.0,
                fixedOrigin.GetElement(1) + fixedSpacing.GetElement(1) * fixedSize.GetElement(1) / 2.0 )

# center of the moving image 
movingSpacing = movingImage.GetSpacing()
movingOrigin = movingImage.GetOrigin()
movingSize = movingImage.GetLargestPossibleRegion().GetSize()

centerMoving = ( movingOrigin.GetElement(0) + movingSpacing.GetElement(0) * movingSize.GetElement(0) / 2.0,
                 movingOrigin.GetElement(1) + movingSpacing.GetElement(1) * movingSize.GetElement(1) / 2.0  )

# transform center
center = transform.GetCenter()
center.SetElement( 0, centerFixed[0] )
center.SetElement( 1, centerFixed[1] )

# transform translation
translation = transform.GetTranslation()
translation.SetElement( 0, centerMoving[0] - centerFixed[0] )
translation.SetElement( 1, centerMoving[1] - centerFixed[1] )

initialParameters = transform.GetParameters()

print "Initial Parameters: "
print "Angle: %f" % (initialParameters.GetElement(0), )
print "Center: %f, %f" % ( initialParameters.GetElement(1), initialParameters.GetElement(2) )
print "Translation: %f, %f" % (initialParameters.GetElement(3), initialParameters.GetElement(4))

registration.SetInitialTransformParameters( initialParameters )

#
# Define optimizer parameters
#

# optimizer scale
translationScale = 1.0 / 1000.0

optimizerScales = itkArrayD( transform.GetNumberOfParameters() )
optimizerScales.SetElement(0, 1.0)
optimizerScales.SetElement(1, translationScale)
optimizerScales.SetElement(2, translationScale)
optimizerScales.SetElement(3, translationScale)
optimizerScales.SetElement(4, translationScale)

optimizer.SetScales( optimizerScales )
optimizer.SetMaximumStepLength( 0.1 )
optimizer.SetMinimumStepLength( 0.001 )
optimizer.SetNumberOfIterations( 200 )

#
# Iteration Observer
#
def iterationUpdate():
    currentParameter = transform.GetParameters()
    print "M: %f   P: %f %f %f %f %f " % ( optimizer.GetValue(),
                                 currentParameter.GetElement(0),
                                 currentParameter.GetElement(1),
                                 currentParameter.GetElement(2),
                                 currentParameter.GetElement(3),
                                 currentParameter.GetElement(4) )
 
iterationCommand = itkPyCommand_New()
iterationCommand.SetCommandCallable( iterationUpdate )
optimizer.AddObserver( itkIterationEvent(), iterationCommand.GetPointer() )

print "Starting registration"

#
# Start the registration process
#

registration.StartRegistration()

#
# Get the final parameters of the transformation
#
finalParameters = registration.GetLastTransformParameters()

print "Final Registration Parameters "
print "Angle in radians  = %f" % finalParameters.GetElement(0)
print "Rotation Center X = %f" % finalParameters.GetElement(1)
print "Rotation Center Y = %f" % finalParameters.GetElement(2)
print "Translation in  X = %f" % finalParameters.GetElement(3)
print "Translation in  Y = %f" % finalParameters.GetElement(4)

# Now, we use the final transform for resampling the moving image.
resampler = itkResampleImageFilterF2F2_New()

resampler.SetTransform( transform.GetPointer() )
resampler.SetInput( movingImage )

region = fixedImage.GetLargestPossibleRegion()

resampler.SetSize( region.GetSize() )
resampler.SetOutputSpacing( fixedImage.GetSpacing() )
resampler.SetOutputDirection( fixedImage.GetDirection() )
resampler.SetOutputOrigin(  fixedImage.GetOrigin() )
resampler.SetDefaultPixelValue( 100 )

#
# Cast for output
#
outputCast = itkRescaleIntensityImageFilterF2US2_New()
outputCast.SetInput( resampler.GetOutput() )
outputCast.SetOutputMinimum( 0 )
outputCast.SetOutputMaximum( 65535 )

writer = itkImageFileWriterUS2_New()

writer.SetFileName( argv[3] )
writer.SetInput( outputCast.GetOutput() )
writer.Update()