[Insight-users] 3D rigid image registration
Luis Ibanez
luis.ibanez@kitware.com
Tue, 10 Dec 2002 17:44:51 -0500
Hi Steve,
1. MutualInformation is the best approach for
multimodal registration. Since you are using
the same image modality, you have the choice
of using other image metrics.
You may want to take a look a "PatternIntensity"
which has been reported to be one of the most
effective by Hawkes et al.
MutualInformation should still be capable of
registering same modality images anyways and
compared to the other metrics will be much
shorter computing times.
Lydia added recently a variant of MutualInformation,
It is called "MattesMutualInformation" and could
also be an option to try.
In any case, only experimentation with your
particular kind of images will give the definite
response to what metric is the best.
2. The data file for running the MultiResMIRegistration
is explained in detail in the PDF file available in
the same directory
/Insight/Applications/MultiResMIRegistration/ReadMe.pdf
input sample files are available on the subdirectory:
/Insight/Applications/MultiResMIRegistration/SampleInputs
for example:
PracCTtoT1.txt
PracPETToPD.txt
Please let us know if you have further questions,
Thanks
Luis
=====================================
Steve Boyd wrote:
> Hello,
>
> I use micro-computed tomography to generate 3D image data of bone
> micro-structure, and I'd like to register images taken at different time
> points. It seems that the example in the ITK kit for mutual information
> registration would be a suitable approach to determine the 3D rigid
> transformation. I have two questions:
>
> 1. Because my data is not multi-modal (all from CT), is it a
> disadvantage to use this approach? Is there another approach that I
> should consider?
>
> 2. Trying to run the ITK example "MultiResMIRegistration" I need to
> include a parameter file as an argument, but I do not know what this
> file should contain. Have I missed downloading a part of the ITK
> package, or can somebody explain what the param.file should contain?
>
> Thank you for any help with either of these two questions.
>
> Sincerely,
>
> Steve
>
>