[ITK] [ITK-users] How to get inverse diffeomorphic demons deformation field transform?

Wed May 24 09:34:46 EDT 2017

I think it is this build:

https://open.cdash.org/viewNotes.php?buildid=4911206

It looks like the remote modules need to manually enabled in the configuration.

Brad

On May 24, 2017, at 12:06 AM, Francois Budin <francois.budin at kitware.com<mailto:francois.budin at kitware.com>> wrote:

Hey Brad,

I actually do not know when the remote module documentation is generated. CC'ing Matt.

Francois

On Tue, May 23, 2017 at 2:59 PM, Lowekamp, Bradley (NIH/NLM/LHC) [C] <blowekamp at mail.nih.gov<mailto:blowekamp at mail.nih.gov>> wrote:
Francois,

There does not seem to be a Doxygen page for FixedPointInverseDisplacementFieldImageFilter. I thought all remote modules were suppose to be in Doxygen. Do you have any idea why?

Brad

On May 22, 2017, at 4:00 PM, Francois Budin <francois.budin at kitware.com<mailto:francois.budin at kitware.com>> wrote:

Hello Mathew,

To my knowledge there is no way to get the inverse transform directly when using ITKDiffeomorphicDemonsRegistrationFilter. You could try to invert the deformation field using one of the algorithm that are available in ITK for that purpose. It seems that you tried one (InverDisplacementField) but have you tried the remote module [1]
If you want to get the inverse transformation directly, you can also try to use [2] or use the registration method that has been implemented in this Insight Journal paper [3].

Hope this helps,
Francois

[1] https://github.com/InsightSoftwareConsortium/ITK/blob/master/Modules/Remote/FixedPointInverseDisplacementField.remote.cmake
[2] https://itk.org/Doxygen/html/classitk_1_1VariationalSymmetricDiffeomorphicRegistrationFilter.html
[3] http://www.insight-journal.org/browse/publication/644

On Mon, May 22, 2017 at 3:25 PM, Mathew Guilfoyle <mrguilfoyle at gmail.com<mailto:mrguilfoyle at gmail.com>> wrote:
I am using (Simple)ITK DiffeomorphicDemonsRegistrationFilter() to perform deformable registration of two 3D images.  This works fine.  Output from the filter is 'outImage' vector image which I then convert to a transform using

dfTransform = DisplacementFieldTransform(outImage).

I can then resample my moving image using this transform and all looks as expected.

My reading/understanding of diffeomorphic algorithms is that there should be an exact and readily computable inverse transform?  I need this as I want to inverse warp a template segmentation performed on my reference image into the original space of my moving image.  How do I obtain the inverse DisplacementFieldTransform or the inverse vector image?

I have tried the InvertDisplacementField filter but the output of this does not appear to correctly invert my warped image back to the original so I do not think this filter generates is a n accurate inverse, at least using default settings.

Any ideas of if/how I can get an exact inverse of a deformable transform?

Thanks

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