Difference between revisions of "2013 Winter Project Week:Hybrid registration"

From NAMIC Wiki
Jump to: navigation, search
Line 3: Line 3:
 
Image:PW-SLC2013.png|[[2013_Winter_Project_Week#Projects|Projects List]]
 
Image:PW-SLC2013.png|[[2013_Winter_Project_Week#Projects|Projects List]]
 
</gallery>
 
</gallery>
 
+
[[File:fixed-namic.png|thumb|center|Image Here]]
 +
[[File:moving-namic.png|thumb|center|Image Here]]
 
==Key Investigators==
 
==Key Investigators==
 
* Nadya Shusharina, Greg Sharp, MGH  
 
* Nadya Shusharina, Greg Sharp, MGH  
 
* Steve Pieper, Isomics
 
* Steve Pieper, Isomics
  
[[File:file_here.png|thumb|center|Image Here]]
+
 
  
 
We propose to augment B-spline deformable registration with landmark information. Matching of landmarks is performed by the optimization procedure applied to the cost function containing an intensity-based data term and two constraints, smoothing and an explicit landmark matching.  
 
We propose to augment B-spline deformable registration with landmark information. Matching of landmarks is performed by the optimization procedure applied to the cost function containing an intensity-based data term and two constraints, smoothing and an explicit landmark matching.  

Revision as of 02:24, 6 January 2013

Home < 2013 Winter Project Week:Hybrid registration
Image Here
Image Here

Key Investigators

  • Nadya Shusharina, Greg Sharp, MGH
  • Steve Pieper, Isomics


We propose to augment B-spline deformable registration with landmark information. Matching of landmarks is performed by the optimization procedure applied to the cost function containing an intensity-based data term and two constraints, smoothing and an explicit landmark matching.

Objective

  • To develop the method to extend automatic algorithm of deformable image registration based on B-spline approximation
  • The method includes landmark matching in the form of explicit landmark constraint
  • The method is relevant for fast registrations that require matching of certain image features

Approach, Plan

  • To introduce a command line module in Slicer 4 as a part of Plastimatch Registration model
  • Try the algorithm on various data sets

Progress

  • Progress here