ITK/Release 4/Enhancing Image Registration Framework

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).

• Tcon 2010-09-07

• Tcon 2010-11-03