Hi David, On Thu, Nov 12, 2015 at 9:51 PM, David Burns <david.mo.bu...@gmail.com> wrote: > I think this issue relates to the way the metrics compute gradients. It can > be reproduced using > > Examples/RegistrationITKv4/ImageRegistration1.cxx > and > Examples/RegistrationITKv3/ImageRegistration1.cxx > > by setting Dimensions to 3, and using 2D images as inputs. > > I found using: metric->ComputeGradientOff() > will allow the registration to proceed for ITKv3 using the > MeanSquaresImageToImageMetric, but there is no such function for the v4 > version. > Using a metric that does not require gradients (eg Mattes) will allow the > registration to proceed in both v3 and v4. > > I humbly suggest the registration framework and metrics should be able to > handle this situation. Also of note to those interested, the v3 registration > on my system goes about twice as fast per iteration.
Patches would be welcome to improve the situation! Details on patch submission are here: http://www.itk.org/Wiki/ITK/Git/Develop In terms of performance, we are creating a system of benchmarks so that we can quantify performance to make improvements and identify regressions. The work is being added to this repository: https://github.com/InsightSoftwareConsortium/ITKPerformanceBenchmarks The basic infrastructure will be in place in a few weeks time, after which you create a pull request for your use case. This will help make it possible to improve performance on your use case. Thanks, Matt _______________________________________________ Powered by www.kitware.com Visit other Kitware open-source projects at http://www.kitware.com/opensource/opensource.html Kitware offers ITK Training Courses, for more information visit: http://kitware.com/products/protraining.php Please keep messages on-topic and check the ITK FAQ at: http://www.itk.org/Wiki/ITK_FAQ Follow this link to subscribe/unsubscribe: http://public.kitware.com/mailman/listinfo/insight-developers
