ITK/Release 4/Enhancing Image Registration Framework/Tcon 2010-09-07: Difference between revisions
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* See the Gaussian down-sampling as another Transformation | * See the Gaussian down-sampling as another Transformation | ||
** Avoid storing the entire pyramid in memory (saving memory consumption). | ** 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. | |||
== Use Cases == | == Use Cases == |
Revision as of 14:19, 7 September 2010
Attendees
- Cory Quammen
- Gabe Hart
- 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.
- How to compose multiple transforms into a single
- 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.
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).