[Insight-users] Monomodality Registration with IsoC3D and CT Images
Anonymous User
anonymous @ anonymous
Thu, 28 Aug 2003 10:57:53 +0200 (CEST)
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--1552035453-2094202827-1062061028=:2300
Content-Type: TEXT/PLAIN; CHARSET=US-ASCII
Content-ID: <Pine . LNX . 4 . 53 . 0308281057371 . 2300 at mempc046 . mem . unibe . ch>
Hello,
Last week, I had problems with a registration application I was trying to
create based on the help of the ITK Software Guide, the registration
examples as well as the online doc.
I am trying to create a registration app using a Euler3DTransform with a
Regular Step Gradient Optimizer and Mutual Information Metric. I have
since simplified my program as not to use the Multi Resolution
Registration process.
The images I use are IsoC3D Images or CT Images of 156x156x156 pixels with
a pixel spacing of 0.474mm. Three basic test cases are
done: a registration of the base image to itself, a registration of the based
image to a modified self ( -3mm in x, 3 degrees in z) as
well as registration of the based image to a modified self ( -5 mm in
x, 2 mm in y, -11 degrees in x, -11 degrees in z ). For each of these
test cases, the optimizer scales have been modified in order to find an
optimal solution which is yet to be found.
Some people have suggested to use the latest CVS check out, which I will
do as soon as next week. I have also tried a variety of combinations of
other transforms (Affine), optmizers (One Plus One) and metric (Mattes
Mutual Information) to evaluate what component might be deficient.
I have attached a file containing my test results.
Here are some code snippets in order to better understand my problem:
/*--------------------------------------------------------------------*/
//Mutual Information Type
MetricType::Pointer metric = MetricType::New();
//Euler 3D Transform Type
TransformType::Pointer transform = TransformType::New();
//Regular Step Gradient Descent
OptimizerType::Pointer optimizer = OptimizerType::New();
InterpolatorType::Pointer interpolator = InterpolatorType::New();
//Image Registration Method
RegistrationType::Pointer registration = RegistrationType::New();
(...)
optimizer->SetScales(optimizerScales);
metric->SetNumberOfSpatialSamples(atol(TestParameters[8]);
//MutualInformation needs to be maximised
optimizer->MaximizeOn();
registration->SetMetric( metric );
registration->SetOptimizer( optimizer );
registration->SetTransform( transform );
registration->SetInterpolator( interpolator );
//I set the Nb of Iteration, the Max nb of Step and Min nb of Steps
//in the Registration Interface as done in the ITK Software Guide p. 260
(...)
//Image File Reader
fixedImageReader->SetFileName( TestParameters[0] );
movingImageReader->SetFileName( TestParameters[1] );
fixedImageReader->Update();
movingImageReader->Update();
(...)
//Cast Image Filter
fixedCaster->SetInput(fixedImageReader->GetOutput());
movingCaster->SetInput(movingImageReader->GetOutput());
fixedCaster->Update();
movingCaster->Update();
(...)
//Change Information Image Filter
fixedcenterer->SetInput(fixedCaster->GetOutput());
movingcenterer->SetInput(movingCaster->GetOutput());
fixedcenterer->CenterImageOn();
movingcenterer->CenterImageOn();
fixedcenterer->Update();
movingcenterer->Update();
(...)
//Calculated with a MinMaxImageCalculator as fixedSd=0.4*(max-min)+min
metric->SetFixedImageStandardDeviation(fixedSd);
metric->SetMovingImageStandardDeviation(fixedMd);
(...)
registration->SetFixedImage( fixedcenterer->GetOutput() );
registration->SetMovingImage( movingcenterer->GetOutput() );
registration->SetFixedImageRegion(
fixedcenterer->GetOutput()->GetBufferedRegion() );
(...)
//No Initial Rotation or Translation
registration->SetInitialTransformParameters( initialParameters );
(...)
//Set a Command Iteration Update as well as a Registration Interface
try
{
registration->StartRegistration();
}
catch( itk::ExceptionObject & err )
{
//Error handling
(...)
}
//Print Final Parameters
(...)
//Resample
resample->SetTransform( finalTransform );
resample->SetInput( movingImage );
resample->SetSize( fixedImage->GetLargestPossibleRegion().GetSize() );
resample->SetOutputOrigin( fixedImage->GetOrigin() );
resample->SetOutputSpacing( fixedImage->GetSpacing() );
resample->SetDefaultPixelValue( 0 );
resample->Update();
//Write Output
(...)
/*--------------------------------------------------------------*/
Thanks in advance for your help,
Anonymous User
--1552035453-2094202827-1062061028=:2300
Content-Type: TEXT/PLAIN; CHARSET=US-ASCII; NAME=ITK_TestSummary
Content-Transfer-Encoding: BASE64
Content-ID: <Pine . LNX . 4 . 53 . 0308281057080 . 2300 at mempc046 . mem . unibe . ch>
Content-Description:
Content-Disposition: ATTACHMENT; FILENAME=ITK_TestSummary
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