@Article{CiCP-21-2,
author = {},
title = {Two and Three Dimensional Image Registration Based on B-Spline Composition and Level Sets},
journal = {Communications in Computational Physics},
year = {2017},
volume = {21},
number = {2},
pages = {600--622},
abstract = {<p style="text-align: justify;">A method for non-rigid image registration that is suitable for large deformations
is presented. Conventional registration methods embed the image in a B-spline
object, and the image is evolved by deforming the B-spline object. In this work, we represent
the image using B-spline and deform the image using a composition approach.
We also derive a computationally efficient algorithm for calculating the B-spline coefficients
and gradients of the image by adopting ideas from signal processing using
image filters. We demonstrate the application of our method on several different types
of 2D and 3D images and compare it with existing methods.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.OA-2016-0042},
url = {https://global-sci.com/article/80092/two-and-three-dimensional-image-registration-based-on-b-spline-composition-and-level-sets}
}