Deformable Registration with Discontinuity Preservation using Multi-Scale MRF

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3495
Deformable (2D or 3D) medical image registration is a challenging problem. Existing approaches assume that the underlying deformation is smooth. This smoothness assumption allows for solving the deformable registration at a coarse resolution and interpolate for finer resolutions. However, sliding of organs and breathing motion, exhibit discontinuities. We propose a discrete optimization approach to preserve these discontinuities. Solving continuous deformations using discrete optimization requires a fine distribution of the discrete labels. Coupled with the typical size of medical image datasets, this poses challenges to compute solutions efficiently. In this paper we present a practical, multi-scale formulation. We describe how discontinuities can be preserved, and how the optimization problem is solved. Results on synthetic 2D, and real 3D data show that we can well approximate the smoothness of continuous optimization, while accurately maintaining discontinuities.

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

Quick Comments


Resources
backyellow
Download All
Download Paper , View Paper

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

Information more
backyellow
Categories: Deformable registration, Optimization
Keywords: Deformable Registration, Graph Cuts, MRF, Discrete Optimization
Export citation:

Share
backyellow
Share

Linked 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.
Tensor Spectral Matching of Diffusion Weighted Images Tensor Spectral Matching of Diffusion Weighted Images
by Orasanu E., Melbourne A., Lorenzi M., Modat M., Lombaert H., Eaton-Rosen Z., Robertson N.J., Kendall G.S., Marlow N., Ourselin S.

View license
Loading license...

Send a message to the author
main_flat
Powered by Midas