Difference between revisions of "Documentation/Nightly/Modules/SegmentationAidedRegistration"

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(gray scale image registration with contour)
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Image:AfibBeforeRegistrationSmall.png|Register two LGE-MR images. Top: fixed image; Middle: moving image; Bottom: putting them together.
 
Image:AfibBeforeRegistrationSmall.png|Register two LGE-MR images. Top: fixed image; Middle: moving image; Bottom: putting them together.
 
Image:AfibMIAffineRegistration.png|Affine registration using MI metric of the two LGE-MR images. Top: fixed image; Middle: registered moving image; Bottom: putting them together.
 
Image:AfibMIAffineRegistration.png|Affine registration using MI metric of the two LGE-MR images. Top: fixed image; Middle: registered moving image; Bottom: putting them together.
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Image:AfibMIAffineRegistrationWithContour.png|Affine registration using MI metric of the two LGE-MR images, with the red contour showing the left atrium. Top: fixed image; Middle: registered moving image; Bottom: putting them together. We see that the overall registration is good, but the left atrium position is not accurate. In the case where we want to study the change of LA at those two time points, foucs has been put on the LA region.
 
Image:SegmentationAidedRegistrationComparison.png|Results. Top row: Pre-op LGE-MRI with its segmentation of the left atrium (LA). Middle row: Pre-op LA contour overlayed on the registered Post-op LGE-MRI. See the matching of the LA region. Bottom row: checker-board view of Pre-op and registered Post-op LGE-MRIs: they match well at the LA region but badly otherwise, indicating the necessity of using segmentation to aid the registration.
 
Image:SegmentationAidedRegistrationComparison.png|Results. Top row: Pre-op LGE-MRI with its segmentation of the left atrium (LA). Middle row: Pre-op LA contour overlayed on the registered Post-op LGE-MRI. See the matching of the LA region. Bottom row: checker-board view of Pre-op and registered Post-op LGE-MRIs: they match well at the LA region but badly otherwise, indicating the necessity of using segmentation to aid the registration.
 
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Revision as of 20:03, 18 June 2013

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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.

Contributor: Yi Gao, Brigham and Women's Hospital
Contributor: Josh Cates, University of Utah
Contributor: Liang-Jia Zhu, University of Alabama at Birmingham
Contributor: Alan Morris, University of Utah
Contributor: Danny Perry, University of Utah
Contributor: Greg Gardner, University of Utah
Contributor: Rob MacLeod, University Utah
Contributor: Sylvain Bouix, Brigham and Women's Hospital
Contributor: 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  
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

N/A

Panels and their use


Similar Modules

N/A

References

Information for Developers