ITK/Release 4/Enhancing Image Registration Framework/Tcon 2010-09-07: Difference between revisions

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** Then pass this Sparse Image type to the Metrics.
** Then pass this Sparse Image type to the Metrics.
** Both for the Fixed and Moving images ?
** Both for the Fixed and Moving images ?
* How to consolidate a "smart" sampling to allow for
** Dense sampling
** Sparse sampling
** Hide it in the iterator ?


== Use Cases ==
== Use Cases ==

Revision as of 14:28, 7 September 2010

Attendees

  • Cory Quammen
  • Gabe Hart
  • Nick Tustison
  • Andy
  • Brian Avants
  • Luis Ibanez

Technical Topics

  • Transform hierarchy
    • How to compose multiple transforms into a single
      • ResampleImageFilter only deals with itk::Transform
      • WrapImageFilter only deals with a deformation field
      • A new filter is needed, that takes as input a collection of Transforms and deformation fields and apply them concatenated.
  • Potential Names (for this new class)
    • WarpImageMultiTransformFilter
    • ConcatenatedTransformImageTransformFilter
  • See the Gaussian down-sampling as another Transformation
    • Avoid storing the entire pyramid in memory (saving memory consumption).
  • Generalize the representation of an image by using a Sparse representation of the image.
    • Introduce an image sampling class that generates a Sparse image from an image.
    • Then pass this Sparse Image type to the Metrics.
    • Both for the Fixed and Moving images ?
  • How to consolidate a "smart" sampling to allow for
    • Dense sampling
    • Sparse sampling
    • Hide it in the iterator ?

Use Cases

  • Be able to transform meshes (stored in VTK files) through a combination of
    • Affine Transforms
    • Deformation Field
    • Without having to do more than one interpolation (e.g. via concatenation of Transform).
  • Be able to transform Images through a combination of
    • Affine Transforms
    • Deformation Field
    • Without having to do more than one interpolation (e.g. via concatenation of Transform).