Difference between revisions of "2013 Summer Project Week:SegmentationAidedRegistration"

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==Delivery Mechanism==
 
==Delivery Mechanism==
  
This work has been delivered to the NA-MIC Kit as a commandline extension.
+
This work has been delivered to the NA-MIC Kit as a commandline extension. See module page at:
 +
https://www.slicer.org/wiki/Documentation/Nightly/Modules/SegmentationAidedRegistration
  
 
==References==
 
==References==
 +
* Y Gao, Y Rathi, S Bouix, A Tannenbaum; ''Filtering in the Diffeomorphism Group and the Registration of Point Sets''; IEEE Transactions on Image Processing 21 (10), 4383--4396
 
* [http://www.na-mic.org/Wiki/index.php/DBP3:Utah Utah DBP]
 
* [http://www.na-mic.org/Wiki/index.php/DBP3:Utah Utah DBP]
* Y. Gao and S. Bouix, “Synthesis of realistic subcortical anatomy with known surface deformations,” in MICCAI Workshop on Mesh Processing in Medical Image Analysis, 2012, pp. 80–88.
 
* T. Riklin-Raviv, Y. Gao, J. Levitt, and S. Bouix, “Statistical shape analysis for population studies via level-set based shape morphing,” in ECCV Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, 2012, pp. 42–51.
 

Latest revision as of 18:07, 10 July 2017

Home < 2013 Summer Project Week:SegmentationAidedRegistration


Key Investigators

  • Yi Gao, LiangJia Zhu, Josh Cates, Rob MacLeod, Sylvain Bouix, Ron Kikinis, Allen Tannenbaum

Objective

When registering two images, sometime we want some specific regions in the two images to be particularly accurately matched.

Approach, Plan

We use the segmentation of the target region to aided the registration.

Progress

Extension in nightly build. Can be installed from Extension manager.


Delivery Mechanism

This work has been delivered to the NA-MIC Kit as a commandline extension. See module page at: https://www.slicer.org/wiki/Documentation/Nightly/Modules/SegmentationAidedRegistration

References

  • Y Gao, Y Rathi, S Bouix, A Tannenbaum; Filtering in the Diffeomorphism Group and the Registration of Point Sets; IEEE Transactions on Image Processing 21 (10), 4383--4396
  • Utah DBP