Comments (1)
ITK's transforms transform points from moving frame of reference (usually the moving image of the registration) to the fixed frame of reference. This is to ensure that moving image can be fully resampled, even if the transform is not invertible. However most humans (myself included) think of transforms as going from fixed image to the moving image.
There was recently a discussion about Elastix composing the transforms in opposite order from ITK, in case you run into that too.
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Related Issues (20)
- Order of transformparameter files when computing inverse HOT 1
- Method visibility issue with Apple M1 install HOT 1
- Segmentation fault on Apple M2 HOT 4
- Use saved registration to apply for new images HOT 2
- python can't find itk-elastix on arm64 Mac HOT 3
- macOS arm packages missing for 0.18.0 HOT 3
- Update documentation
- External initial transform causes a failure in ConvertToItkTransform HOT 16
- How to convert ITK transform into Elastix transform parameters file? HOT 14
- Saving and Loading Paramter files to reapply transfomr HOT 2
- Histology image registration HOT 5
- `itkwasm-elastix` Site Feedback
- `itk.elastix_registration_method` sometimes crashes silently HOT 2
- Make `itk.ParameterObject` and parameter maps serializable HOT 5
- Segmentation fault on Ubuntu 20.04.6 LTS, x86_64, Python 3.9-3.11 HOT 13
- CORS on loading 3D data HOT 2
- SWIG build warning for `itk::ElastixLogLevel` HOT 3
- Notebook test failures
- Latest ITKElastix crashes HOT 6
- How to minimise non-rigid distortion when using groupwise registration HOT 3
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