[Insight-users] KullbackLeiblerCompareHistogramImageToImageMetric

[Karthik Krishnan]

Thanks for mentioning. The notation in the software guide is probably 
confusing.

p_A(i) is intended to represent the joint histogram of the fixed image 
(say CT) and the first reference image (say US). Assume that you've 
somehow registered them (say manually).   p_B(i) is intended to 
represent the joint histogram of the training image(s), say another US 
image which you wish to register to the fixed CT image just the same way 
the first reference image was registered. So the goal is to minimize the 
KullbackLeibler distance between the two joint histograms. I guess it 
will be clearer if the notation were changed from p_A(i) to p_ref(x,y)  
and p_B(i) to p_training(x,y').

Thank you
kk

jef vdmb wrote:

> Hi,
>
> I am trying to find out which metric behaves the best for my multi 
> modal registration problem. The images are a 2D US and a 3D MR (should 
> you have any suggestions, based on their modality).
>
> I am plotting the metric value for all multi modal metrics available, 
> but I am having problems understanding how to use the 
> KullbackLeiblerCompareHistogramImageToImageMetric. In the 
> SoftwareGuide, it seems you only need your two images. When I go to 
> the Doxygen pages however, a "training histogram" is mentioned.
>
> Could you please clarify the use of this metric, any parameters that 
> need to be set (besides epsilon), or known preprocessing improvements 
> (like normalisation).
>
> Thank you,
>
> Jef
>
>
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