Difference between revisions of "Documentation/Nightly/Extensions/MABMIS"
XiaofengLiu (talk | contribs) |
XiaofengLiu (talk | contribs) |
||
| Line 27: | Line 27: | ||
{{documentation/{{documentation/version}}/module-section|Module Description}} | {{documentation/{{documentation/version}}/module-section|Module Description}} | ||
| + | <!-- ---------------------------- --> | ||
| + | {| | ||
| + | |[[Image:MABMIS_algorithm.png|thumb|340px|Example: MABMIS segmentation results]] | ||
| + | |} | ||
| + | |||
| + | The figure above shows an overview of the algorithm. MABMIS contains two modules: the training module, and the testing module. | ||
| + | <br> | ||
| − | |||
{{documentation/{{documentation/version}}/module-section|Use Cases}} | {{documentation/{{documentation/version}}/module-section|Use Cases}} | ||
{| | {| | ||
Revision as of 21:51, 16 January 2014
Home < Documentation < Nightly < Extensions < MABMIS
|
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
|
MABMIS is a Slicer extension that implements a multi-atlas based multi-image method for group-wise segmentation [1]. The method utilizes a novel tree-based groupwise registration method for concurrent alignment of both the atlases and the target images, and an iterative groupwise segmentation method for simultaneous consideration of segmentation information propagated from all available images, including the atlases and other newly segmented target images.
Contributor: Xiaofeng Liu, Minjeong Kim, Jim Miller, Dinggang Shen. | |||||
|
Module Description
The figure above shows an overview of the algorithm. MABMIS contains two modules: the training module, and the testing module.
Use Cases
Tutorials
Panels and their use
Similar Modules
References
- Hongjun Jia, Pew-Thian Yap, Dinggang Shen, "Iterative multi-atlas-based multi-image segmentation with tree-based registration", NeuroImage, 59:422-430, 2012.
Information for Developers
 |
Section under construction. |
