ITK/Release 4/Enhancing Image Registration Framework: Difference between revisions

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* Wishlist items beyond standard use cases, e.g. projective transform (itkPerspective3DTransform).
* Wishlist items beyond standard use cases, e.g. projective transform (itkPerspective3DTransform).


= Discussions =
* [[ITK_Release_4/Enhancing Image Registration Framework/Goals]]


* Separate sampling and metric computation
= Discussion Items =


* Separate computation of derivative components :
* Separate sampling (interpolation strategy) and metric computation  


e.g.  Maximize  MI(  I(x) , J(T(x)) )  by gradient methods:
* Separate computation of derivative components via chain rule.


  \partial Metric / \partial Image  \partial Image / \partial Transform \partial Transform / \partial x
* Enable registration of generalized data-types.
 
* Multiple metrics and/or multiple optimizers?


* Add feature based registration techniques (SIFT (patented?), SURF, etc)
* Add feature based registration techniques (SIFT (patented?), SURF, etc)


[[Proposals:Refactoring of optimization framework|Refactoring of optimization framework]]
[[Proposals:Refactoring of optimization framework|Refactoring of optimization framework]]
[[Proposal for Revised Framework]] (Old)
[[ITK_Release_4/Enhancing Image Registration Framework/Proposal for Revised Framework|Proposal for Revised Framework]]


[http://www.itk.org/Wiki/ITK_Release_4/Wish_List#Image_Registration Wish List for ITKv4 ]
[http://www.itk.org/Wiki/ITK_Release_4/Wish_List#Image_Registration Wish List for ITKv4 ]


http://ibia.umit.at/ResearchGroup/Phil/web/Simple2D3DRegistrationFramework.html
= Related Groups (A2D2) =
 
# BWH: Score++
#* Sean Megason and Julian Jomier
# Georgetown: Automated parameter tuning
#* Ziv Yaniv, Andinet Enquobahrie
# Utah: Score
#* Marcel Prastawa, Julien Jomier, G. Gerig, J. Fillon-Robin
# Utah: Time-Varying Shape Modeling
#* T. Fletcher, J. Cater, R. MacLeod, C. McGann, S. Callahan
# William+mary*: Non-Rigid Registration for Image Guided Neurosurgery
#* N. Chrisochoides et al.
 
Notes:
 
(a) #3, #4, and #5 should be consulted during the actual refactoring of the registration framework.
(b) #1, #2, and #3 should be involved with the design of a web-based parameter estimation, comparison.


= Tcons =
= Tcons =
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* [[ITK_Release_4/Enhancing Image Registration Framework/Tcon 2010-09-07|Tcon 2010-09-07]]
* [[ITK_Release_4/Enhancing Image Registration Framework/Tcon 2010-09-07|Tcon 2010-09-07]]
* [[ITK_Release_4/Enhancing Image Registration Framework/Tcon 2010-11-03|Tcon 2010-11-03]]
* [[ITK_Release_4/Enhancing Image Registration Framework/Tcon 2010-11-23|Tcon 2010-11-23]]

Latest revision as of 16:01, 9 December 2011

Enhancing Image Registration Framework

Goals

  • Review v4 registration plans and progress.
  • Catalog target use cases.
  • Discuss design changes in core itk to support these enhancements.
  • Wishlist items beyond standard use cases, e.g. projective transform (itkPerspective3DTransform).

Discussion Items

  • Separate sampling (interpolation strategy) and metric computation
  • Separate computation of derivative components via chain rule.
  • Enable registration of generalized data-types.
  • Multiple metrics and/or multiple optimizers?
  • Add feature based registration techniques (SIFT (patented?), SURF, etc)


Refactoring of optimization framework

Proposal for Revised Framework (Old)

Proposal for Revised Framework


Wish List for ITKv4

Related Groups (A2D2)

  1. BWH: Score++
    • Sean Megason and Julian Jomier
  2. Georgetown: Automated parameter tuning
    • Ziv Yaniv, Andinet Enquobahrie
  3. Utah: Score
    • Marcel Prastawa, Julien Jomier, G. Gerig, J. Fillon-Robin
  4. Utah: Time-Varying Shape Modeling
    • T. Fletcher, J. Cater, R. MacLeod, C. McGann, S. Callahan
  5. William+mary*: Non-Rigid Registration for Image Guided Neurosurgery
    • N. Chrisochoides et al.

Notes:

(a) #3, #4, and #5 should be consulted during the actual refactoring of the registration framework. (b) #1, #2, and #3 should be involved with the design of a web-based parameter estimation, comparison.

Tcons

(Add one page for every tcon).

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