Transitively Consistent and Unbiased Multi-Image Registration using Numerically Stable Transformation Synchronisation
logo

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3526
Transitive consistency of pairwise transformations is a desirable property of groupwise image registration procedures. The transformation synchronisation method (Bernard et al., 2015) is able to retrieve transitively consistent pairwise transformations from pairwise transformations that are initially not transitively consistent. In the present paper, we present a numerically stable implementation of the transformation synchronisation method for affine transformations, which can deal with very large translations, such as those occurring in medical images where the coordinate origins may be far away from each other. By using this method in conjunction with any pairwise (affine) image registration algorithm, a transitively consistent and unbiased groupwise image registration can be achieved.
Experiments involving the average template generation from 3D brain images demonstrate that the method is more robust with respect to outliers and achieves higher registration accuracy compared to reference-based registration.

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

Quick Comments
Comment by Florian Bernard yellow
Code is available here: https://sites.google.com/site/fbernardpi/code
Comment by Dženan Zukić yellow
Are you going to publish source code?


Resources
backyellow
Download All
Download Paper , View Paper

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

Information more
backyellow
Categories: Groupwise registration, Linear Algebra, Optimization, Transforms
Keywords: template construction, multi-image registration, groupwise registration, transformation synchronisation, multi-alignment
Tracking Number: FNR: 5748689, FNR: 6538106, FNR: 8864515, FNR: 9169303
Export citation:

Share
backyellow
Share

Linked Publications more
backyellow
Automatic Mandible Segmentation on CT Images Using Prior Anatomical Knowledge Automatic Mandible Segmentation on CT Images Using Prior Anatomical Knowledge
by Aghdasi N., Li Y., Berens A., Moe K., Hannaford B.
The graph windowed Fourier transform: a tool to quantify the gyrification of the cerebral cortex The graph windowed Fourier transform: a tool to quantify the gyrification of the cerebral cortex
by Rabiei H., Richard F., Roth M., Anton J., Coulon O., Lefevre J.

Recommended Publications more
backyellow
The Bag of Words Approach for the Classification of Head and Neck Cancers Using Diffuse Reflectance... The Bag of Words Approach for the Classification of Head and Neck Cancers Using Diffuse Reflectance...
by Karam Eldaly A., Benezeth Y., Flaus V., Duvillard C., Bozorg Grayeli A., Marzani F.
MisoSR: Medical Image Isotropic Super-Resolution Reconstruction MisoSR: Medical Image Isotropic Super-Resolution Reconstruction
by Van Reeth E., Soujanya G., Sdika M., Cervenansky F., Poh C.L.

View license
Loading license...

Send a message to the author
main_flat
Powered by Midas