ITK/Release 4/Enhancing Image Registration Framework

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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

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).