Share Email Print

Proceedings Paper

Accelerated 3D image registration
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Image registration is an important task in most medical imaging applications. Numerous algorithms have been proposed and some are widely used. However, due to the vast amount of data collected by eg. a computed tomography (CT) scanner, most registration algorithms are very slow and memory consuming. This is a huge problem especially in atlas building, where potentially hundreds of registrations are performed. This paper describes an approach for accelerated image registration. A grid-based warp function proposed by Cootes and Twining, parameterized by the displacement of the grid-nodes, is used. Using a coarse-to-fine approach, the composition of small diffeomorphic warps, results in a final diffeomorphic warp. Normally the registration is done using a standard gradient-based optimizer, but to obtain a fast algorithm the optimization is formulated in the inverse compositional framework proposed by Baker and Matthews. By switching the roles of the target and the input volume, the Jacobian and the Hessian can be pre-calculated resulting in a very efficient optimization algorithm. By exploiting the local nature of the grid-based warp, the storage requirements of the Jacobian and the Hessian can be minimized. Furthermore, it is shown that additional constraints on the registration, such as the location of markers, are easily embedded in the optimization. The method is applied on volumes built from CT-scans of pig-carcasses, and results show a two-fold increase in speed using the inverse compositional approach versus the traditional gradient-based method.

Paper Details

Date Published: 5 March 2007
PDF: 11 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65121W (5 March 2007); doi: 10.1117/12.709373
Show Author Affiliations
Martin Vester-Christensen, Technical Univ. of Denmark (Denmark)
Søren G. Erbou, Technical Univ. of Denmark (Denmark)
Sune Darkner, Technical Univ. of Denmark (Denmark)
Rasmus Larsen, Technical Univ. of Denmark (Denmark)

Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

© SPIE. Terms of Use
Back to Top