[Insight-users] Is there a way to quantify accuracy of a deformable registration?

[Luis Ibanez]

Hi John,

If you are looking for a way of characterizing the
registration method itself, then you may want to
consider doing the following:

1) Take an image representative of your domain.

2) Apply to it a known deformation

3) Use the image (1) as moving image and the
    image (2) as fixed image

4) Compare the deformation field resulting from
    the registration (3) with the known field that
    you used in (2). The differences between the
    fields will give you an idea of the accuracy
    of the registration.

For step (2), you may find useful the examples

       Insight/Examples/Registration/
                      BSplineWarping1.cxx
                      BSplineWarping2.cxx
                      LandmarkWarping2.cxx
                      ThinPlateSplineWarp.cxx


Please be very careful of avoiding generalizations.
Registration results are very dependent on the setting
of parameters.  Whatever measure of accuracy you
obtain, will only be representative of that registration
method WITH those exact parameters.

You should therefore, repeat the entire process for
a variety of parameters, and report on all the sequence.

It is a common mistake to report registration results
by just using a setting of parameters. This is mostly
seen in conferences and journals that do not enforce
or encourage reproducibility (sadly most of them).


      Regards,


            Luis


----------------------------------------------------------------------
On Mon, Apr 26, 2010 at 6:30 PM, John Jan Drozd <john.drozd at gmail.com>wrote:

> Hi,
>
> Is there a way to quantify the accuracy of a deformable registration? I
> used the diffeomorphic demons deformable registration.
>
> Thank you,
> John
>
> Sent from my iPhone
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