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| − | Slicer 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.
| + | <big>'''Note:''' We are migrating this content to the slicer.org domain - <font color="orange">The newer page is [https://www.slicer.org/wiki/Slicer3:Registration here]</font></big> |
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| − | See also [[ITK_Registration_Optimization#Algorithmic_Requirements_and_Use_Cases | additional use cases collected for nonlinear registration optimization]].
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| − | __TOC__
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| − | ----
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| − | = T2 to FA Affine Registration =
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| − | [[Image:T2-FA-registration-slicer2-2008-04-08.png|thumb|right|250px|Results using slicer2]]
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| − | [[Image:T2-fa-registration-2008-04-08.png|thumb|right|250px|Results using slicer3 as of 2008-04-07]]
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| − | * Input Volumes
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| − | ** [[media:T2 Aligned.nrrd]] (Sagittal)
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| − | ** [[media:FA-slicer3-2008-04-08.nrrd]] (Rotated Axial)
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| − | * Reference 'Gold Standard'
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| − | ** Slicer2 calculation using Mattes MI Affine (also uses ITK implementation)
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| − | ** Result transform:
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| − | 0.998582 0.0548244 0.00874164 1.86596
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| − | -0.051956 0.957673 0.0339914 -12.8223
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| − | -0.00506141 -0.00847398 0.994165 16.2862
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| − | 0 0 0 1
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| − | * Software
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| − | ** Slicer3 svn trunk 2008-04-07
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| − | * Parameters
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| − | ** Defaults
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| − | * Method
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| − | ** Use T2 as fixed, FA as moving
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| − | ** Create new output transform and output volume (no input transform)
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| − | ** In data module drag FA volume under the newly calculated transform
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| − | ** In Transform Module select the output transform and click Invert
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| − | * Results 2008-04-07
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| − | ** Output volume appears to be all 0
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| − | ** Output transform looks correct, see image to the right.
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| − | 0.924175 0.0524361 0.0617505 -0.457981
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| − | 0.0453017 0.99089 0.0283234 -8.79902
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| − | -0.0525653 -0.0657896 1.11031 18.5389
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| − | -0 0 -0 1
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| − | ----
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| − | = T1 to Average Gradient Affine Registration = | |
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| − | [[Image:Debrecen-slicer2-affine.png|thumb|right|250px|Results using slicer2]]
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| − | [[Image:Derecen-slicer3-affine.png|thumb|right|250px|Results using slicer3 as of 2008-04-10]]
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| − | * Input Volumes
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| − | ** Provided by András Jakab, University of Debrecen Medical School and Health Science Center
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| − | ** [http://cooler.underground.hu/docs/imaging/send/extract_brain_3dt1_manual_volume.nrrd]
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| − | ** [http://cooler.underground.hu/docs/imaging/send/AVGgradient.nrrd]
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| − | | |
| − | * Reference 'Gold Standard'
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| − | ** Slicer2 calculation using Mattes MI Affine (also uses ITK implementation)
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| − | ** Result transform:
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| − | 0.950655 0.024335 0.0259082 0.857786
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| − | 0.0086567 0.8889 -0.379321 -6.77365
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| − | -0.0395529 0.39257 0.835359 14.664
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| − | 0 0 0 1
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| − | * Software
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| − | ** Slicer3 svn trunk 2008-04-10
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| − | | |
| − | * Parameters
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| − | ** Defaults
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| − | * Method
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| − | ** Use T1 as fixed, Gradient as moving
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| − | * Results 2008-04-10
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| − | ** Cannot run due to sampling issue
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| − | <pre> | |
| − | itk::ExceptionObject (0x1990140)
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| − | 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>]"
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| − | File: /Users/pieper/slicer3/latest/Slicer3-lib/Insight/Code/Algorithms/itkMattesMutualInformationImageToImageMetric.txx
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| − | Line: 1036
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| − | Description: itk::ERROR: MattesMutualInformationImageToImageMetric(0x198d470): Too many samples map outside moving image buffer: 2481 / 10000
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| − | ERROR: In /Users/pieper/slicer3/latest/Slicer3/Modules/CommandLineModule/vtkCommandLineModuleLogic.cxx, line 1326
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| − | vtkCommandLineModuleLogic (0x1d265ac0): Affine registration completed with errors
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| − | </pre> | |
