[ITK] [ITK-users] Mattes Mutual Information Speed with 3D Images

[Bradley Lowekamp]

Hello,

Unfortunately, I can help much because of lack of information.

I can tell you I just wrote SimpleITK registration code which uses Mattes Mutual Information, Versor Rigid Transform, with a Regular Step Gradient Descent optimizer . The sampling percentage for the metric is 0.2, and the volumes are about 60^3 each. This is able to do the registration in about 8 iterations in 0.3 seconds.

Brad

On Mar 9, 2015, at 7:02 PM, Gabriel A. Giménez <gabrielgimenez85 at gmail.com> wrote:

> Hello everyone...
> 
> I'm working on a genetic optimizer for Rigid 3D Registration. 
> 
> The fitness of each individual is calculated using Mattes Mutual
> Information, the execution time of the metric is high ... (30 seconds on
> average). This makes the registration too slow.
> 
> Any recommendations? could improve the performance metrics? otherwise most
> appropriate metric?
> 
> Regards!
> 
> 
> 
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