Difference between revisions of "Documentation/Nightly/Extensions/PBNRR"
(Created page with '<noinclude>{{documentation/versioncheck}}</noinclude> <!-- ---------------------------- --> {{documentation/{{documentation/version}}/module-header}} <!-- -----------------------…') |
|||
| Line 25: | Line 25: | ||
<!-- ---------------------------- --> | <!-- ---------------------------- --> | ||
{{documentation/{{documentation/version}}/module-section|Module Description}} | {{documentation/{{documentation/version}}/module-section|Module Description}} | ||
| − | + | The module Non-Rigid Registers a moving to a fixed MRI. It uses a linear homogeneous bio-mechanical model to compute a dense deformation field that defines a transformation for every point in the fixed image to the moving image. The method includes three components (Feature Point Selection, Block Matching and Finite Element Solver) combine together to provide a user-friendly interface. | |
| − | |||
<!-- ---------------------------- --> | <!-- ---------------------------- --> | ||
{{documentation/{{documentation/version}}/module-section|Use Cases}} | {{documentation/{{documentation/version}}/module-section|Use Cases}} | ||
{| | {| | ||
| − | |[[Image: | + | |[[Image:case1_input.png|thumb|340px|case1 Input]] |
| − | |||
| − | |||
|} | |} | ||
Revision as of 14:51, 20 June 2014
Home < Documentation < Nightly < Extensions < PBNRR
|
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
|
Extension: Physics-Based Non-Rigid Registration (PBNRR) | |||
|
Module Description
The module Non-Rigid Registers a moving to a fixed MRI. It uses a linear homogeneous bio-mechanical model to compute a dense deformation field that defines a transformation for every point in the fixed image to the moving image. The method includes three components (Feature Point Selection, Block Matching and Finite Element Solver) combine together to provide a user-friendly interface.
Use Cases
Tutorials
Panels and their use
Similar Modules
References
- Xiaodong Tao, Ming-ching Chang, “A Skull Stripping Method Using Deformable Surface and Tissue Classification”, SPIE Medical Imaging, San Diego, CA, 2010.
- Ming-ching Chang, Xiaodong Tao “Subvoxel Segmentation and Representation of Brain Cortex Using Fuzzy Clustering and Gradient Vector Diffusion”, SPIE Medical Imaging, San Diego, CA, 2010.
Information for Developers
 |
Section under construction. |
