Contributions to the Normalized Correlation and the Mean Squares Metric

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/190
This document describes contributions on the
NormalizedCorrelationImageToImageMetric and the MeanSquaresImageToImageMetric of the Insight Toolkit ITK url{www.itk.org}. For the first metric a two time speed-up can be
achieved by rewriting the code to loop only once over the fixed image. This is instead of the two times that is used in the current ITK code. The reduction in computation time comes at the cost of an additional storage of a parameters array. For both metric we have
implemented the option to use only a random subset of the fixed image voxels for calculating the metric value and its derivatives. This reduces the computation time (substantially), while convergence
properties are maintained. This paper is accompanied with the source code.
Data
minus 2 Files (52Kb)
Code
There is no code review at this time.

Reviews
There is no review at this time. Be the first to review this publication!

Quick Comments


Resources
backyellow
Download All

Statistics more
backyellow
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Code rating:
Paper Quality: plus minus

Information more
backyellow
Categories: Programming
Keywords: Normalized Correlation, Mean Square Difference
Toolkits: ITK, CMake
Export citation:

Share
backyellow
Share

Linked Publications more
backyellow
An ITK Implementation of a Diffusion Tensor Images Resampling Filter An ITK Implementation of a Diffusion Tensor Images Resampling Filter
by Budin F., Bouix S., Shenton M., Styner M., Oguz I.
Experimenting with Segmentation in ITK Experimenting with Segmentation in ITK
by Bilgin C.C.

View license
Loading license...

Send a message to the author
main_flat
ISSN 2327-770X
Powered by Midas