Difference between revisions of "Slicer3:LinearRegistrationUseCases"
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− | See also [ | + | See also [http://www.na-mic.org/Wiki/index.php/ITK_Registration_Optimization#Algorithmic_Requirements_and_Use_Cases additional use cases collected for nonlinear registration optimization]. |
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* Input Volumes | * Input Volumes | ||
− | ** [[media:T2 Aligned.nrrd]] | + | ** [[media:T2 Aligned.nrrd|T2 Aligned Sagittal]] |
− | ** [[media:FA-slicer3-2008-04-08.nrrd]] | + | ** [[media:FA-slicer3-2008-04-08.nrrd| Rotated Axial]] |
* Reference 'Gold Standard' | * Reference 'Gold Standard' | ||
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* Input Volumes | * Input Volumes | ||
** Provided by András Jakab, University of Debrecen Medical School and Health Science Center | ** Provided by András Jakab, University of Debrecen Medical School and Health Science Center | ||
− | ** [http://cooler.underground.hu/docs/imaging/send/extract_brain_3dt1_manual_volume.nrrd] | + | **[http://cooler.underground.hu/docs/imaging/send/extract_brain_3dt1_manual_volume.nrrd Manual Volume] |
− | ** [http://cooler.underground.hu/docs/imaging/send/AVGgradient.nrrd] | + | **[http://cooler.underground.hu/docs/imaging/send/AVGgradient.nrrd AVG gradient] |
* Reference 'Gold Standard' | * Reference 'Gold Standard' |
Revision as of 22:37, 19 May 2008
Home < Slicer3:LinearRegistrationUseCasesSlicer 3 includes linear and nonlinear registration tools built as command line modules. On this page we are working to collect a variety of example data sets which test the boundary cases in order to optimize the registration performance and accuracy.
See also additional use cases collected for nonlinear registration optimization.
T2 to FA Affine Registration
- Input Volumes
- Reference 'Gold Standard'
- Slicer2 calculation using Mattes MI Affine (also uses ITK implementation)
- Result transform:
0.998582 0.0548244 0.00874164 1.86596 -0.051956 0.957673 0.0339914 -12.8223 -0.00506141 -0.00847398 0.994165 16.2862 0 0 0 1
- Software
- Slicer3 svn trunk 2008-04-07
- Parameters
- Defaults
- Method
- Use T2 as fixed, FA as moving
- Create new output transform and output volume (no input transform)
- In data module drag FA volume under the newly calculated transform
- In Transform Module select the output transform and click Invert
- Results 2008-04-07
- Output volume appears to be all 0
- Output transform looks correct, see image to the right.
0.924175 0.0524361 0.0617505 -0.457981 0.0453017 0.99089 0.0283234 -8.79902 -0.0525653 -0.0657896 1.11031 18.5389 -0 0 -0 1
T1 to Average Gradient Affine Registration
- Input Volumes
- Provided by András Jakab, University of Debrecen Medical School and Health Science Center
- Manual Volume
- AVG gradient
- Reference 'Gold Standard'
- Slicer2 calculation using Mattes MI Affine (also uses ITK implementation)
- Result transform:
0.950655 0.024335 0.0259082 0.857786 0.0086567 0.8889 -0.379321 -6.77365 -0.0395529 0.39257 0.835359 14.664 0 0 0 1
- Software
- Slicer3 svn trunk 2008-04-10
- Parameters
- Defaults
- Method
- Use T1 as fixed, Gradient as moving
- Results 2008-04-10
- Cannot run due to sampling issue
itk::ExceptionObject (0x1990140) Location: "void itk::MattesMutualInformationImageToImageMetric<TFixedImage, TMovingImage>::GetValueAndDerivative(const typename itk::ImageToImageMetric<TFixedImage, TMovingImage>::ParametersType&, typename itk::ImageToImageMetric<TFixedImage, TMovingImage>::MeasureType&, typename itk::ImageToImageMetric<TFixedImage, TMovingImage>::DerivativeType&) const [with TFixedImage = itk::OrientedImage<short int, 3u>, TMovingImage = itk::OrientedImage<short int, 3u>]" File: /Users/pieper/slicer3/latest/Slicer3-lib/Insight/Code/Algorithms/itkMattesMutualInformationImageToImageMetric.txx Line: 1036 Description: itk::ERROR: MattesMutualInformationImageToImageMetric(0x198d470): Too many samples map outside moving image buffer: 2481 / 10000 ERROR: In /Users/pieper/slicer3/latest/Slicer3/Modules/CommandLineModule/vtkCommandLineModuleLogic.cxx, line 1326 vtkCommandLineModuleLogic (0x1d265ac0): Affine registration completed with errors