4.5 Article Proceedings Paper

A Fast and Log-Euclidean Polyaffine Framework for Locally Linear Registration

Journal

JOURNAL OF MATHEMATICAL IMAGING AND VISION
Volume 33, Issue 2, Pages 222-238

Publisher

SPRINGER
DOI: 10.1007/s10851-008-0135-9

Keywords

Locally affine transformations; Medical imaging; ODE; Diffeomorphisms; Polyaffine transformations; Log-Euclidean; Non-rigid registration

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In this article, we focus on the parameterization of non-rigid geometrical deformations with a small number of flexible degrees of freedom. In previous work, we proposed a general framework called polyaffine to parameterize deformations with a finite number of rigid or affine components, while guaranteeing the invertibility of global deformations. However, this framework lacks some important properties: the inverse of a polyaffine transformation is not polyaffine in general, and the polyaffine fusion of affine components is not invariant with respect to a change of coordinate system. We present here a novel general framework, called Log-Euclidean polyaffine, which overcomes these defects. We also detail a simple algorithm, the Fast Polyaffine Transform, which allows to compute very efficiently Log-Euclidean polyaffine transformations and their inverses on regular grids. The results presented here on real 3D locally affine registration suggest that our novel framework provides a general and efficient way of fusing local rigid or affine deformations into a global invertible transformation without introducing artifacts, independently of the way local deformations are first estimated.

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