Documentation/4.3/Modules/ExpertAutomatedRegistration

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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, <email>john@doe.org</email>

Isomics, Inc. <- Replace this logo with yours   Surgical Planning Laboratory (SPL) <-Replace this logo with yours

Module Description

Provides rigid, affine, and BSpline registration methods via a simple GUI

Use Cases

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Tutorials

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Panels and their use

Parameters:

• IO: Input and output parameters
  • 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
• Registration Parameters: Common parameters
  • Load transform: Load a transform that is immediately applied to the moving image
  • Save transform: Save the transform that results from registration
  • Initialization: Method to prime the registration process
  • Registration: Method for the registration process
  • Metric: Method to quantify image match
  • Expected offset magnitude: Expected misalignment after initialization
  • Expected rotation magnitude: Expected misalignment after initialization
  • Expected scale magnitude: Expected misalignment after initialization
  • Expected skew magnitude: Expected misalignment after initialization
• Advanced Registration Parameters: Parameters that determine how registration is performed
  • Verbosity level: Level of detail of reporting progress
  • Sample from fixed/moving overlap: Limit metric evaluation to the fixed image region overlapped by the moving image
  • Fixed Image Mask: Image which defines a mask for the fixed image
  • Random number seed (0=none): Seed to generate a consistent random number sequence
  • Number of threads (0=max): Number of CPU threads to use
  • Minimize memory: Reduce the amount of memory required at the cost of increased computation time
  • Interpolation: Method for interpolation within the optimization process
• Advanced Initial Registration Parameters: Parameters that determine how initial registration is performed
  • Fixed landmarks: Ordered list of landmarks in the fixed image
  • Moving landmarks: Ordered list of landmarks in the moving image
• Advanced Rigid Registration Parameters: Parameters that determine how registration is performed
  • Rigid Max Iterations: Maximum number of rigid optimization iterations
  • Rigid sampling ratio: Portion of the image to use in computing the metric during rigid registration
• Advanced Affine Registration Parameters: Parameters that determine how registration is performed
  • Affine Max Iterations: Maximum number of affine optimization iterations
  • Affine sampling ratio: Portion of the image to use in computing the metric during affine registration
• Advanced BSpline Registration Parameters: Parameters that determine how registration is performed
  • BSpline Max Iterations: Maximum number of bspline optimization iterations
  • BSpline sampling ratio: Portion of the image to use in computing the metric during BSpline registration
  • Control point spacing (pixels): Number of pixels between control points

Similar Modules

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References

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