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

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Image:PW-SLC2013.png|[[2013_Winter_Project_Week#Projects|Projects List]]
 
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==Key Investigators==
 
==Key Investigators==
 
* Nadya Shusharina, Greg Sharp, MGH  
 
* Nadya Shusharina, Greg Sharp, MGH  
* Steve Pieper
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* Steve Pieper, Isomics
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[[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.  
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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.  
  
 
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<h3>Objective</h3>
 
<h3>Objective</h3>
* Objective 1
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* To develop the method to extend automatic algorithm of deformable image registration based on B-spline approximation
* Objective 2
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* The method includes landmark matching in the form of explicit landmark constraint
* etc.
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* The method is relevant for fast registrations that require matching of certain image features
 
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<div style="width: 27%; float: left; padding-right: 3%;">
 
<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
PLAN HERE
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* To introduce CLI in Slicer 4 as a part of Plastimatch Registration module
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* Try the algorithm on various data sets
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
* Progress here
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We extended Plastimatch B-spline deformable registration module with landmark matching functionality. We tested the new feature on synthetic image and obtained satisfactory results. We set future goal to work on interactive real-time landmark placing.
 
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Latest revision as of 15:59, 12 June 2013

Home < 2013 Winter Project Week:Hybrid registration

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 CLI in Slicer 4 as a part of Plastimatch Registration module
  • Try the algorithm on various data sets

Progress

We extended Plastimatch B-spline deformable registration module with landmark matching functionality. We tested the new feature on synthetic image and obtained satisfactory results. We set future goal to work on interactive real-time landmark placing.

new wiki page