ITK/Release 4/Why Switch to ITKv4

Modularization

• Easier to find what you are looking for.
• Easier to understand how to use the toolkit.
• Build only the parts of the toolkit that you need.
• Extend bridging of the toolkit to other toolkit and libraries.
• Makes it easy to associate and build auxiliary community projects with the External module.
• Find the quality control per module by performing code coverage tests per module.

New Finite Element Registration framework

• Better conformity with the rest of the toolkit
• Improved IO of objects and results

New Registration Framework

• Automatic optimization parameter scale estimation
• Composite transform
• Displacement field transform
• Better integration of dense displacement field registration into the framework
• Better support for multi-threading
• Additional evolutionary optimizers
• Different B-Spline registration approach available
• Transform symmetric second rank tensors

New LevelSets Segmentation Framework

• Powerful, modular architecture
  • Now you, too, can fully understand how level sets are implemented!
  • Easy to extend and customize
• Simultaneously evolve multiple levels on an image
• Faster
  • Limit evolution to a domain
  • Three different sparse representations available, Whitaker, Shi, Malcolm
  • Design avoids duplication of calculations in many ways
• Easy conversion from BinaryMask or LabelMap to a level set.

SimpleITK

• Easy to use
  • Illustrations of ITK, WrappedITK, and SimpleITK
• Rapid development
• Interactive processing

Software Process

• Fast, distributed, powerful version control: Git
• Better support for making contributions
  • Low barrier to entry
  • Well defined contribution process
  • Use powerful tools, Git branches, Gerrit reviews
  • Get code into the toolkit quicker
  • Get higher quality code in with more review and platform testing
• Forget SETI@home, give the aliens a reason to visit by improving ITK with CDash@home!
• Know when/if your bug will be addressed with the scrum process in the JIRA issue tracker

WrapITK

• Tight incorporation of the outstanding, formerly third party WrapITK project.
• Numpy integration.