Difference between revisions of "Documentation/Nightly/Extensions/MABMIS"
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| + | 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. | ||
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Extension: [[Documentation/{{documentation/version}}/Extensions/MABMIS|MABMIS: Multi-atlas based group-wise segmentation]]<br> | Extension: [[Documentation/{{documentation/version}}/Extensions/MABMIS|MABMIS: Multi-atlas based group-wise segmentation]]<br> | ||
Acknowledgments: This project was supported by NIH grant xxxxxxx. <br> | Acknowledgments: This project was supported by NIH grant xxxxxxx. <br> | ||
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Revision as of 21:49, 16 January 2014
Home < Documentation < Nightly < Extensions < MABMIS
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For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
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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. | |||||
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Module Description
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
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Section under construction. |
