Higher-order Spatial Accuracy in Diffeomorphic Image Registration

12/23/2014
by   Henry O. Jacobs, et al.
0

We discretize a cost functional for image registration problems by deriving Taylor expansions for the matching term. Minima of the discretized cost functionals can be computed with no spatial discretization error, and the optimal solutions are equivalent to minimal energy curves in the space of k-jets. We show that the solutions convergence to optimal solutions of the original cost functional as the number of particles increases with a convergence rate of O(h^d+k) where h is a resolution parameter. The effect of this approach over traditional particle methods is illustrated on synthetic examples and real images.

READ FULL TEXT

page 18

page 19

page 20

research
07/13/2019

On the convergence rate of some nonlocal energies

We study the rate of convergence of some nonlocal functionals recently c...
research
01/10/2017

Universal Joint Image Clustering and Registration using Partition Information

We consider the problem of universal joint clustering and registration o...
research
12/23/2014

Symmetry in Image Registration and Deformation Modeling

We survey the role of symmetry in diffeomorphic registration of landmark...
research
10/07/2013

Landmark and Intensity Based Registration with Large Deformations via Quasi-conformal Maps

Registration, which aims to find an optimal one-to-one correspondence be...
research
11/30/2016

An Artificial Agent for Robust Image Registration

3-D image registration, which involves aligning two or more images, is a...
research
10/02/2022

On convergence of an unconditional stable numerical scheme for Q-tensor flow based on invariant quardratization method

We present convergence analysis towards a numerical scheme designed for ...
research
06/28/2022

Diffeomorphic Registration using Sinkhorn Divergences

The diffeomorphic registration framework enables to define an optimal ma...

Please sign up or login with your details

Forgot password? Click here to reset