[Insight-users] Validation of deformable registration
Jonathan Orban
jonathan.orban at uclouvain.be
Wed Mar 11 04:40:09 EDT 2009
Hi Marta,
You should take a look at "A Framework for Comparison and Evaluation of
Nonlinear Intra-Subject Image Registration Algorithms" from Martin
Urschler, Stefan Kluckner and Horst Bischof
<http://insight-journal.org/browse/publication/166>. This article
compares different quantitative field difference measurements.
Moreover, another option you might try is to apply your registration
strategy on the POPI data
<http://www.creatis.insa-lyon.fr/rio/popi-model>. For these data, you
don't have a simulated field that you can consider as ground truth but
you have several markers pointed out by experts which you can use as
ground truth.
Regards,
Jonathan
Marta a écrit :
> Hi Karthik, hi Luis,
>
> thank you both a lot! I will try that tomorrow!
>
> Do you also have a suggestion on the best way to compare the
> deformation fields for validation? Is it a proper way to compare them
> by SSD in each direction separately?
>
> Regards,
> Marta
>
> Am 10.03.2009 um 21:55 schrieb Luis Ibanez:
>
>>
>> Martha,
>>
>> Along the lines of what Karthik suggests,
>> you can use the examples:
>>
>>
>> Insight/Examples/Registration/
>> BSplineWarping1.cxx
>> BSplineWarping2.cxx
>> ThinPlateSplineWarp.cxx
>>
>>
>> They will generate deformation fields for you.
>>
>>
>> regards,
>>
>>
>> Luis
>>
>>
>> ---------------------
>> Karthik Krishnan wrote:
>>> On Tue, Mar 10, 2009 at 8:48 AM, Marta <t_s_80 at gmx.de
>>> <mailto:t_s_80 at gmx.de>> wrote:
>>> Hello once again,
>>> I still have the questions below, but I also have a new one that
>>> bothers me to the topic.
>>> What is a good way to find data for my synthetic deformation field?
>>> I mean, it isn't enough to deform the image "anyhow", it's
>>> important to
>>> have a realistic deformation, right? How can I imitate that? Are
>>> there any tools to create an synthetic deformation field?
>>> You can use one of the kernel splines to specify landmark pairs at
>>> corresponding anatomical locations to generate a Kernel transform
>>> with a realistic deformation.
>>> ------------------------------------------------------------------------
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