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Introduction and Acknowledgements

This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website. Author: FIRSTNAME LASTNAME, AFFILIATION Contributor1: FIRSTNAME LASTNAME, AFFILIATION Contributor2: FIRSTNAME LASTNAME, AFFILIATION Contact: FIRSTNAME LASTNAME,

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Module Description

Provides affine registration using multiple resolution levels and decomposed affine transforms.

Use Cases

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Tutorials

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Panels and their use

Parameters:

• Required
  • Fixed Image: Image which defines the space into which the moving image is registered
  • Moving Image: The transform goes from the fixed image's space into the moving image's space
  • Resample image: Registration results
  • Output transform: Save the output transform from the registration
• Optional
  • Fixed Image Mask image: Label image which defines a mask of interest for the fixed image
  • Fixed Image ROI: Label image which defines a ROI of interest for the fixed image
• Advanced
  • Number of Iterations: Number of iterations to run at each resolution level.
  • Number of Line Iterations: Number of iterations to run at each resolution level.
  • Step Size (voxels): The maximum step size of the optimizer in voxels
  • Step Tolerance (voxels): The maximum step size of the optimizer in voxels
  • Metric Tolerance:

Similar Modules

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References

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Information for Developers

Section under construction.