Difference between revisions of "Documentation/4.4/Modules/ABC"
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− | + | Author: Marcel Prastawa <br> | |
Contact: Marcel Prastawa, <email>marcel.prastawa@gmail.com</email><br> | Contact: Marcel Prastawa, <email>marcel.prastawa@gmail.com</email><br> | ||
Website: http://www.nitrc.org/projects/abc<br> | Website: http://www.nitrc.org/projects/abc<br> | ||
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+ | Acknowledgments: This project was supported by NIH grant U54 EB005149. <br> | ||
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+ | ABC (Atlas Based Classification) is a full segmentation pipeline designed and developed for healthy brain MRIs. The processing pipeline includes image registration, filtering, inhomogeneity correction, and skull stripping.<br> | ||
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+ | The software is designed and tested for healthy brain MRI (pediatric - adult). | ||
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+ | The processing involved in the module can take up to five minutes for a typical MR image, using the default setting that was chosen to generate coarser results. Speed-ups are possible by increasing the number of threads (specified in the Speed panel). Results with higher accuracy can be obtained by increasing the maximum polynomial degree of the bias field (in the Advanced panel), increasing the number of pre-filtering iterations (in the Advanced panel), and switching to finer sampling for image registration (in the Speed panel). | ||
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− | + | EMSegmenter | |
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Revision as of 20:12, 8 September 2015
Home < Documentation < 4.4 < Modules < ABC
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
Author: Marcel Prastawa Acknowledgments: This project was supported by NIH grant U54 EB005149.
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Module Description
ABC (Atlas Based Classification) is a full segmentation pipeline designed and developed for healthy brain MRIs. The processing pipeline includes image registration, filtering, inhomogeneity correction, and skull stripping.
Tutorials
The software is designed and tested for healthy brain MRI (pediatric - adult).
The processing involved in the module can take up to five minutes for a typical MR image, using the default setting that was chosen to generate coarser results. Speed-ups are possible by increasing the number of threads (specified in the Speed panel). Results with higher accuracy can be obtained by increasing the maximum polynomial degree of the bias field (in the Advanced panel), increasing the number of pre-filtering iterations (in the Advanced panel), and switching to finer sampling for image registration (in the Speed panel).
Panels and their use
Parameters:
() * ': ** ': *** ':
List of parameters generated transforming this XML file using this XSL file. To update the URL of the XML file, edit this page.
Similar Modules
EMSegmenter
References
Information for Developers
Section under construction. |
Source code can be found at http://www.nitrc.org/plugins/scmsvn/viewcvs.php/?root=abc