[ITK] [ITK-users] Speed of ITKv4 based Gradient Descent Optimizer

[Jiahui Wang]

Thank you very much, Andras.

Jiahui

On Mon, Oct 6, 2014 at 11:44 AM, Andras Lasso <lasso at queensu.ca> wrote:

>  See this long thread about this issue:
>
>
> http://slicer-devel.65872.n3.nabble.com/BRAINS-rigid-registration-td4032229.html
>
>
>
> Short summary: There were some performance regressions in mutual
> information metric computation, threading, etc. that have been recently
> fixed, so use the latest ITK version. ITKv4 uses a slightly slower but more
> accurate optimizer, but if you adjust the number of samples and stopping
> condition then usually the registration time only increases by about 30-50%
> (and you might get better quality results).
>
>
>
> You can see all the changes that have been done in 3D Slicer and BRAINS
> repositories to go from a 10x-100x slowdown to an approximately equivalent
> registration speed with ITKv4 compared to ITKv3.
>
>
>
> Andras
>
>
>
> *From:* Community [mailto:community-bounces at itk.org] *On Behalf Of *Jiahui
> Wang
> *Sent:* Monday, October 06, 2014 10:27 AM
> *To:* insight-users at itk.org
> *Subject:* [ITK] [ITK-users] Speed of ITKv4 based Gradient Descent
> Optimizer
>
>
>
> Dear All,
>
> I modified ImageRegistration8.cxx to run my own rigid registration.
>
>
> However, I found that the processing time of ITKv4 based
> RegularStepGradientDescentOptimizer is almost 10 times more than that of
> ITKv3 based one.
>
>
> The program was run on the same machine. The only difference is the ITK
> libraries.
>
> Could anyone give me some suggestions to solve this issue?
>
> Thanks,
>
> JW
>
>
>
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