Module Type & Category
Authors, Collaborators & Contact
- Author: Daniel Blezek
- Contact: daniel.blezek at gmail.com
This command line module implements a registration algorithm based on the Mattes mutual information registration metric and the affine transformation. Both the fixed and moving images may be optionally smoothed before registration.
Examples, Use Cases & Tutorials
- This module is often used to align images of different subjects.
- The affine transformation allows a limited degree of deformation and frequently is used as a pre-processing step for higher order transformations such as the BSpline and Demons.
Quick Tour of Features and Use
List all the panels in your interface, their features, what they mean, and how to use them. For instance:
- Input panel:
- Parameters panel:
- Output panel:
- Viewing panel:
No other modules are required for this module.
The module uses an itkOrientImageFilter to realign the fixed and moving images to axial before registration. This is required due to limitations in ITK's handling of non-axial images in filters used by registration.
None. To report bugs, follow this link to the Slicer3 bug tracker.
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Source code & documentation
This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on the National Centers for Biomedical Computing can be obtained from National Centers for Biomedical Computing.
D. Mattes, D.R. Haynor, H. Vesselle, T.K. Lewellen, and W. Eubank. PET-CT image registration in the chest using free-form deformations. IEEE Transactions on Medical Imaging, 22(1):120–128, 2003.