[Insight-users] Multi-modal volume registration using mutual information

[Luke]

Hi, Luis,

Thank for your reply!

I have read through the tutorial. It is very helpful.

I have a C++ program that register 3-D image using mutual information. You
claim that I can have reasonable registration in the order of one or two
minute for 200x200x200 image. However, my program would need a little bit
more than 1 hour to register 255x255x54 image to a template(on my 1.7GHz,
500MB laptop), which is unacceptable.

My program uses powell method(code from numerical recipes in c)  for
optimization. The mutual information is computed using histogram. And the
transformation matrix is affine transformation with 12 components.

I didn't see itk use powell method as the optimizer.  Would other
optimization method have same accuracy as powell?

How much time would itk take to register a 255x255x54 dataset with 12
componets affine transformation? Can I find some examples? I want to compare
before I decide to change my program to itk.

Thank for your help!

Best regards!


Luke

----- Original Message ----- 
From: "Luis Ibanez" <luis.ibanez at kitware.com>
To: "Luke" <khua1 at jhu.edu>
Cc: <insight-users at itk.org>
Sent: Thursday, June 24, 2004 6:20 PM
Subject: Re: [Insight-users] Multi-modal volume registration using mutual
information


>
> Hi Luke,
>
> Yes,
> There is a lot of support for Multi-Modality registration in ITK.
>
> There are three different implementations of Mutual Information
> in ITK. They are:
>
>            - Viola & Wells
>            - Mattes et al.
>            - Histogram based
>
> You will find the full list of Image Metrics in the Groups section
> of the Doxygen documentation:
>
> http://www.itk.org/Insight/Doxygen/html/group__RegistrationMetrics.html
>
>
> Registration is not necesarily time consuming. It is a matter of
> trade-offs. Usually you can get reasonable registrations in the
> order of one or two minutes for volumes of size 200x200x200.
>
> However, getting there requires that you fine tune the parameters
> of the componentes involved in the registration process, and of
> course that you select an appropriate combination of such components.
>
> A simple way of checking if you really need registration is to
> resample one image into the coordinate system of the other image
> using an identity transform. Then computing the Difference between
> the resampled image and the fixed image.  If you visualize such
> image you will rapidly notice how much miss-registration exists
> between the two.
>
> You are strongly encouraged to read the Chapter on Image Registration
> in the Software Guide
>
>
>        http://www.itk.org/ItkSoftwareGuide.pdf
>
>
> Chapter 8, pdf-page 241.
>
> Mulit-Modality registration is discussed in section 8.4,
> pdf-page 255.  You will find the associated source code
> examples in the directory:
>
>
>          Insight/Examples/Registration
>
>
>
> You should also read the Tutorial sessions
>
>           http://www.itk.org/HTML/Tutorials.htm
>
> In particular
>
> http://www.itk.org/CourseWare/Training/RegistrationMethodsOverview.pdf
>
>
> Please let us know if you have further questions.
>
>
>
>       Thanks
>
>
>          Luis
>
>
> -----------
> Luke wrote:
>
> > Is there any multi-modal volume registration using mutual information
> > inplemented in itk?
> >
> > BTW, the registration process is very time consuming, and some times
> > it turns out the two volume don't need registration at all(no
> > transformation, rotation, etc). Is there any way I can tell if the two
> > volume needs registration before optimization?
> >
> > Thanks!
> >
> >
> > Luke
> >
> >
> > ------------------------------------------------------------------------
> >
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>
>
>