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. | |||||
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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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Information for Developers
Section under construction. |