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Overview: ITK Registration Methods Lydia Ng Allen Institute for Brain Science
Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Intra-subject Registration ,[object Object],[object Object],[object Object]
3D Breast MR Contrast Uptake Deformable Registration Unregistered: Registered: Image Data: 192 x 192 x 13 pixels, 0.94 x 0.94 x 8.00 mm Registration: 2 levels, MI, LBFGS, B-spline deformation Image data courtesy of University of Washington.
Inter-subject Registration ,[object Object],[object Object],[object Object],[object Object],[object Object]
3D Inter-subject MR-PD Deformable Registration Image Data: 256 x 256 x 192 pixels, 1.02 x 1.02 x 1.02 mm Registration: 3 levels, Demons algorithm, histogram matching Image data courtesy of N. C. Andreasen, University of Iowa, Psychiatry Dept. Fixed  Volume Moving Volume
3D Atlas-based Segmentation Atlas (Moving)  Volume Subject (Fixed) Volume Image data courtesy of N. C. Andreasen, University of Iowa, Psychiatry Dept.
Multi-modality Registration ,[object Object],[object Object],[object Object],[object Object],[object Object]
PET/CT Fusion Image data courtesy of University of Washington.
Image Registration Classification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ITK Registration Framework
ITK Registration Framework ,[object Object],[object Object],[object Object],[object Object],[object Object]
Registration Framework Components  Cost Function Optimizer Transform Resample   Image Filter Fixed Image Moving Image Resampled Image Transform Parameters Registration Framework Image Similarity Metric Image Interpolator
itk::ImageRegistrationMethod ,[object Object],[object Object]
Examples/Registration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Component Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
itk::Transfrom ,[object Object],[object Object],[object Object],[object Object],[object Object]
Forward and Inverse Mappings ,[object Object],[object Object],[object Object]
Forward Mapping ,[object Object],[object Object],[object Object],[object Object],Input Image Output Image
Inverse Mapping ,[object Object],[object Object],[object Object],Input Image Output Image
Registration and Inverse Mapping ,[object Object],[object Object],Point in fixed image space Point in moving image space
Transform Parameters ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Transform Jacobian ,[object Object],[object Object]
itk::TranslationTransform ,[object Object],[object Object],[object Object],[object Object]
itk::Euler2DTranform ,[object Object],[object Object],[object Object],Don’t forget TRANSFORM    CENTERING and PARAMETER SCALING!
Center of Transformation/Rotation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Parameter Scaling ,[object Object],[object Object],[object Object],[object Object]
itk::Euler3DTranform ,[object Object],[object Object],[object Object],[object Object]
Alternative 3D Rigid Transforms ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
I will not register images in pixel space I will not register images in pixel space I will not register images in pixel space I will not register images in pixel space I will not register images in pixel space I will not register images in pix
Image Spacing and Origin ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
itk::AffineTransform ,[object Object],[object Object],[object Object],Don’t forget TRANSFORM    CENTERING and PARAMETER SCALING!
itk::BSplineDeformableTransform ,[object Object],[object Object],[object Object]
B-Spline Grid Placement ,[object Object],SplineOrder = 3
itk::InterpolateImageFunction ,[object Object],[object Object]
Choice of Interpolation Method ,[object Object],[object Object],[object Object]
Interpolation Schemes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
itk::ImageToImageMetric ,[object Object],[object Object],[object Object],[object Object]
Metrics, Transforms and Interpolators ,[object Object],[object Object],[object Object],Transform Registration Framework Image Similarity Metric Image Interpolator Fixed Image Moving Image
Metrics and Optimizers ,[object Object],[object Object],[object Object],Cost Function Optimizer Transform Fixed Image Moving Image Registration Framework Image Similarity Metric Image Interpolator
Choice of Metric ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Mean Squares Metric ,[object Object],[object Object],[object Object],[object Object],Over a user specified fixed image region Transform from fixed image point to moving image point Interpolate the moving image
Mean Squares Metric NearestNeighbor Linear BSpline Optimal Value at Zero Metric range: image dependent Translations
Normalized Correlation Metric ,[object Object],[object Object],[object Object]
Normalized Correlation Metric Linear BSpline Optimal Value at -1 Metric range: 1 to -1 Translations
Mutual Information Metric ,[object Object]
Mutual Information Metric ,[object Object],[object Object],[object Object],[object Object]
Entropy ,[object Object],[object Object],[object Object]
Mutual Information ,[object Object],[object Object],[object Object]
Estimating the Probabilistic Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Parzen Windowing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Estimating Entropy ,[object Object],[object Object],[object Object]
Flavors of Mutual Information ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Mutual Information Metric ViolaWells Mattes Optimal Value at maximum Metric range: Image dependent Translations
Joint Histograms: Mono-modality Images Aligned Translated by 0 to 20 pixels White = zero value Black  = highest value Misalignment causes dispersion
Joint Histograms: Multi-modality Translated by 0 to 20 pixels Misalignment causes dispersion Images Aligned White = zero value Black  = highest value
Joint Histograms and Registration ,[object Object],[object Object],[object Object]
Registration Strategies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
itk::MultiResolutionImageRegistrationMethod ,[object Object],Initialize Initialize
3D CT to MR-T1 Rigid Registration Fixed Image:  MR-T1, 256 x 256 x 52 pixels, 0.78 x 0.78 x 3.00 mm Moving Image: CT, 512 x 512 x 44, 0.41 x 0.41 x 3.00 mm Registration: 4 levels, MI, gradient descent, quaternion rigid Images provided as part of the project: “Retrospective Image Registration Evaluation”,  NIH, Project No. 8R01EB002124-03, Principal Investigator, J. Michael Fitzpatrick, Vanderbilt University, Nashville, TN.
3D PET to MR-T2 Rigid Registration Fixed Image:  MR-T2, 256 x 256 x 26 pixels, 1.25 x 1.25 x 4.00 mm Moving Image:  PET, 128 x 128 x 15, 1.94 x 1.94 x 8.00 mm  Registration: 3 levels, MI, gradient descent, quaternion rigid Images provided as part of the project: “Retrospective Image Registration Evaluation”,  NIH, Project No. 8R01EB002124-03, Principal Investigator, J. Michael Fitzpatrick, Vanderbilt University, Nashville, TN.
Registration To GUI Communication ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
ITK Observers/Commands ,[object Object],[object Object],[object Object],[object Object]
Observing Registration ,[object Object],[object Object],[object Object],[object Object]
ITK Registration Examples  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Deformable Registration in ITK ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Resources ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data for Registration Testing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Application: Allen Brain Atlas ,[object Object],[object Object],[object Object],[object Object],[object Object]
 
3D Atlas Reconstruction ,[object Object],[object Object],[object Object],[object Object]
Initialization ,[object Object],[object Object],[object Object]
Rigid Registration ,[object Object],[object Object]
Unbending Rigid Registration ,[object Object],[object Object]
Affine Registration ,[object Object],[object Object]
De-warping Affine Registration ,[object Object],[object Object]
Deformable Registration ,[object Object],[object Object],[object Object],[object Object]
Hippocampus (Azimuth)
Hippocampus (Elevation)
Cerebellum (Elevation)
Ventricles (Elevation)

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ITK Tutorial Presentation Slides-947

  • 1. Overview: ITK Registration Methods Lydia Ng Allen Institute for Brain Science
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  • 5. 3D Breast MR Contrast Uptake Deformable Registration Unregistered: Registered: Image Data: 192 x 192 x 13 pixels, 0.94 x 0.94 x 8.00 mm Registration: 2 levels, MI, LBFGS, B-spline deformation Image data courtesy of University of Washington.
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  • 7. 3D Inter-subject MR-PD Deformable Registration Image Data: 256 x 256 x 192 pixels, 1.02 x 1.02 x 1.02 mm Registration: 3 levels, Demons algorithm, histogram matching Image data courtesy of N. C. Andreasen, University of Iowa, Psychiatry Dept. Fixed Volume Moving Volume
  • 8. 3D Atlas-based Segmentation Atlas (Moving) Volume Subject (Fixed) Volume Image data courtesy of N. C. Andreasen, University of Iowa, Psychiatry Dept.
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  • 10. PET/CT Fusion Image data courtesy of University of Washington.
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  • 14. Registration Framework Components Cost Function Optimizer Transform Resample Image Filter Fixed Image Moving Image Resampled Image Transform Parameters Registration Framework Image Similarity Metric Image Interpolator
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  • 31. I will not register images in pixel space I will not register images in pixel space I will not register images in pixel space I will not register images in pixel space I will not register images in pixel space I will not register images in pix
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  • 44. Mean Squares Metric NearestNeighbor Linear BSpline Optimal Value at Zero Metric range: image dependent Translations
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  • 46. Normalized Correlation Metric Linear BSpline Optimal Value at -1 Metric range: 1 to -1 Translations
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  • 55. Mutual Information Metric ViolaWells Mattes Optimal Value at maximum Metric range: Image dependent Translations
  • 56. Joint Histograms: Mono-modality Images Aligned Translated by 0 to 20 pixels White = zero value Black = highest value Misalignment causes dispersion
  • 57. Joint Histograms: Multi-modality Translated by 0 to 20 pixels Misalignment causes dispersion Images Aligned White = zero value Black = highest value
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  • 61. 3D CT to MR-T1 Rigid Registration Fixed Image: MR-T1, 256 x 256 x 52 pixels, 0.78 x 0.78 x 3.00 mm Moving Image: CT, 512 x 512 x 44, 0.41 x 0.41 x 3.00 mm Registration: 4 levels, MI, gradient descent, quaternion rigid Images provided as part of the project: “Retrospective Image Registration Evaluation”, NIH, Project No. 8R01EB002124-03, Principal Investigator, J. Michael Fitzpatrick, Vanderbilt University, Nashville, TN.
  • 62. 3D PET to MR-T2 Rigid Registration Fixed Image: MR-T2, 256 x 256 x 26 pixels, 1.25 x 1.25 x 4.00 mm Moving Image: PET, 128 x 128 x 15, 1.94 x 1.94 x 8.00 mm Registration: 3 levels, MI, gradient descent, quaternion rigid Images provided as part of the project: “Retrospective Image Registration Evaluation”, NIH, Project No. 8R01EB002124-03, Principal Investigator, J. Michael Fitzpatrick, Vanderbilt University, Nashville, TN.
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