Incorporating Metric Flows and Sparse Jacobian Transformations in ITK

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/183
Various metrics have been proposed in the literature for performing intrinsic automatic image to image registration. Among these measures, mutual information is a very popular one because of its robustness and accuracy for a wide variety of applications. In this paper, we propose a filter for performing non-rigid registration by estimating a dense deformation field derived from the mutual information metric. This filter takes place in the ITK PDE deformable registration design like the Demons algorithm of Thirion. We also show how the concept of metric flow is conceptually linked to the concept of metric derivative for a prior transformation model by the transformation jacobian. We also suggest a sparse implementation of the GetJacobian() method for reducing the computation time of a metric derivative for local transformations models.
Data
minus 3 Files (3Mb)
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
Keywords: Metric flow, Local Jacobian, Non-rigid registration
Toolkits: ITK
Export citation:

Share
backyellow
Share

Linked Publications more
backyellow
Boolean Operations on Surfaces in VTK Without External Libraries Boolean Operations on Surfaces in VTK Without External Libraries
by Quammen C., Weigle C., Taylor II R.M.
Level Set Segmentation: Active Contours without edge Level Set Segmentation: Active Contours without edge
by Mosaliganti K., Smith B., Gelas A., Gouaillard A., Megason S.

View license
Loading license...

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