Incorporating Metric Flows and Sparse Jacobian Transformations in ITK

Please use this identifier to cite or link to this publication:
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.
minus 3 Files (3Mb)
There is no code review at this time.

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

Quick Comments

Download All

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

Information more
Keywords: Metric flow, Local Jacobian, Non-rigid registration
Toolkits: ITK
Export citation:


Linked Publications more
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
Powered by Midas