Documentation/Nightly/Modules/SegmentationAidedRegistration

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Home < Documentation < Nightly < Modules < SegmentationAidedRegistration

Introduction and Acknowledgements

This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website.

Author: Yi Gao, Brigham and Women's Hospital
Contributor1: Josh Cates, University of Utah
Contributor2: Liang-Jia Zhu, University of Alabama at Birmingham
Contributor3: Alan Morris, University of Utah
Contributor4: Danny Perry, University of Utah
Contributor5: Greg Gardner, University of Utah
Contributor6: Rob MacLeod, University Utah
Contributor7: Sylvain Bouix, Brigham and Women's Hospital
Contributor8: Allen Tannenbaum, University of Alabama at Birmingham
Contact: Yi Gao, <email>gaoyi@bwh.harvard.edu</email>

National Alliance for Medical Image Computing (NA-MIC)  
Psychiatry Neuroimaging Laboratory (PNL)  
The University of Alabama at Birmingham  
Surgical Planning Laboratory (SPL)  
Scientific Computing and Imaging Institute (SCI)  

Module Description

When we want to register two images, often times, we would like an accurate matching at certain region. For example, in the atrial fibrillation longitudinal study, we want to register the pre-op and post-op images. In particular, we want the matching at the atrium to be emphasized. In such cases, we can use the segmentation of the target region, atrium in the previous example, to aid the registration process. This module is such a segmentation aided registration tool.

Use Cases

  • In the atrial fibrillation longitudinal study, we want to register the pre-op and post-op images. In particular, we want the matching at the atrium to be emphasized.

Tutorials

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Panels and their use

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Similar Modules

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References

Information for Developers