[Insight-users] Differences in Mutual Information Metrices

[Luis Ibanez]

Hi Jan,

The documentation on the differences between the six types
of Mutual Information metrics currently available in ITK
is a bit scattered at this point.

This is something we should improve in the second edition
of the Software Guide.

Could you please add this as a feature request on the
Software Guide

              http://www.itk.org/Bug/


--

The implementations of Mutual Information for

          Viola-Wells
and

          Mattes

use random samples because they just need to estimate
the Joint Probability of the images.

The OnePlusOneOptimizer uses random numbers because as
any other evolutionary algorithm it throws random variations
of a genetic population in order to explore the parameteric
space.

You may want to read the original papers by Viola-Wells, and
Mattes, as well as an introductory text to Genetic Algorithms
or Evolutionary Algorithms.



    Regards,


       Luis


----------------------
Jan Schreiber wrote:

> Hi, 
> 
> does anyone know, where I can find information about the differences of
> the several Mutual Information Metrices implemented in ITK?
> 
> itk::MattesMutualInformationImageToImageMetric
> and
> itk::MutualInformationImageToImageMetric
> 
> are well described in the SoftwareGuide and in the Doxygen
> documentation but I could not find much information on
> 
> itk::MutualInformationHistogramImageToImageMetric
> and
> itk::NormalizedMutualInformationHistogramImageToImageMetric
> 
> Do you know the pros and contras of these metrices and which optimizers
> I can/ should use with the Histogram-versions? Do I have to pre-process
> the images first?
> 
> The first two seem to use random samples for the calculation which
> makes me a bit suspicious... The OnePlusOneEvolutionaryOptimizer used in
> ImageRegistration14.cxx is initialized with a random variate generator.
> Why do all these methods use a random variable?
> 
> Thanks in advance, 
> Jan
> 
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