Modules:RealignVolume-Documentation-3.4
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Realign Volume
Realign Volume
General Information
Module Type & Category
Type: CLI
Category: Registration
Authors, Collaborators & Contact
- Nicole Aucoin: Brigham and Women's Hospital
- Contact: Nicole Aucoin, nicole@bwh.harvard.edu
Module Description
Realigns a volume based on a transformation matrix (if output volume is specified). It can make a transform using a list of fiducials. If pass in a transform matrix and an output volume, but no fiducials, applies the transform to the input volume.
Usage
Examples, Use Cases & Tutorials
- Useful when can place fiducials in two orthogonal lines in a an image to define the midline and the ACPC line
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:
- Transform panel: Calculate a transform from midline and ACPC fiducial lists, or specify a transform.
- ACPC Line: pick a fiducial list from the scene that defines the ACPC line.
- Midline: pick a fiducial list from the scene that defines the midline.
- Output transform: An output transform - load a calculated transform in this node.
- Reslice panel: Apply transform to volume
- Input transform: An input transform, apply this to the input volume and get the output volume
- Input Volume: The input volume to work upon
- Output Volume: Output realigned volume, optional (if not set, just returns the output transform)
- Reference Volume: Reference volume, optional. If set, use the RAS/IJK transform from this volume instead of the input volume.
- Interpolation Type: Controls the type of interpolation done when reslicing, can be nearest neighbour, linear, or cubic.
Development
Dependencies
The fiducials and volumes modules are required for this module's use.
Known bugs
Follow this link to the Slicer3 bug tracker.
Usability issues
Follow this link to the Slicer3 bug tracker. Please select the usability issue category when browsing or contributing.
Source code & documentation
Source Code:
Doxygen documentation:
- []
More Information
Acknowledgment
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.
