[Insight-users] use of itkKappaStatisticImageToImageMetric

[Miller, James V (GE, Research)]

The Kappa statistics image metric does not compute derivatives wrt to the 
transform parameters.  We a researcher take a look at it but it has not 
been completed.

You will need to use an optimizer that does not rely on gradients.  The
AmeobaOptimizer and the OnePlusOneEvolutionaryOptimizers are candidates.

You will also need to use a NearestNeighbor interpolator.

Jim

-----Original Message-----
From: insight-users-bounces+millerjv=crd.ge.com at itk.org
[mailto:insight-users-bounces+millerjv=crd.ge.com at itk.org]On Behalf Of
mhg at unizar.es
Sent: Tuesday, February 07, 2006 5:38 AM
To: insight-users at itk.org
Subject: [Insight-users] use of itkKappaStatisticImageToImageMetric


Hello,

I am trying to implement a registration method for binary images that uses the
Kappa Statistic Metric. I wrote a standard program with this metric and a
gradient descent based optimizer. 

When I run my program, it tells me that this metric does not provide metric
derivatives, so I guess that I should use another optimizer and maybe another
interpolator.

Could some of you tell me the correct combination for this metric?

I would like also to know if there is any place where I could find the correct
combinations for metrics, interpolators and optimizerd implemented in itk.

Thanks in advance, 
Monica. 




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