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

[Yaniv, Ziv Rafael (NIH/NLM/LHC) [C]]

Hello Mathew,

Just a followup to Francois’ recommendations. SimpleITK currently doesn’t support the FixedPointInverseDisplacementField external module. If you want it added please open an issue describing the need on GitHub (https://github.com/SimpleITK/SimpleITK/issues).
   
      thanks
          Ziv

On 5/22/17, 3:25 PM, "Mathew Guilfoyle" <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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