Difference between revisions of "Slicer3:Registration"
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== Modules for Resampling == | == Modules for Resampling == | ||
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== Use cases == | == Use cases == | ||
Revision as of 20:27, 19 January 2010
Home < Slicer3:RegistrationContents
Modules for Automated Registration
The Register Images Module (Casey Goodlett, Stephen Aylward) performs automated image registration, rigid to affine, based on image intensity similarities. This is an integrated solution to all your registration needs, if you want to have a resampled volume as output.
The Linear Registration (Daniel Blezek) module performs automated rigid registration. This is being replaced by the Register Images Module that performs the same function.
The Deformable B-Spline Registration Module (Bill Lorensen) performs automated image warping based on image intensities.
The ACPC Transform module (Nicole Aucoin) is used to orient brain images along the anatomical reference line between the anterior and posterior commissure.
The HAMMER module (Guorong Wu, Dinggang Shen) can align brain images of different individuals based on tissue class segmentation and intensity (experimental stage).
Modules for Interactive/Manual Registration
The Transforms Module(Alex Yarmarkovich) allows to manually and interactively move one image to align with another (rigid only). This can be used for initial alignment.
The Fiducial Alignment module (Casey Goodlett) can align images based on pairs of manually selected fiducial points (rigid and affine).
Modules for Resampling
- Transformation matrices derived from the above modules can be used as input for resampling other volumes (including DTI) using the Resample Volume 2 module.
