"Pulmonary Image Registration With elastix Using a Standard Intensity-Based Algorithm"

Marius Staring, Stefan Klein, Johan H.C. Reiber, Wiro J. Niessen and Berend C. Stoel


Accurate registration of thoracic CT is useful in clinical terms and also challenging due to the elastic nature of lung tissue deformations. The goal of the EMPIRE10 challenge (Evaluation of Methods for Pulmonary Image Registration 2010), a workshop of the MICCAI 2010 conference, is to provide a platform for in-depth evaluation and fair comparison of available registration algorithms for this application. To this end we registered to the challenge with team RubberBand. The goal of our submission is to determine what a standard, but fully automatic, intensity-based image registration algorithm can achieve compared to the competition.
The algorithm, implemented in elastix, optimises the normalised correlation criterion, using a fast, parameter-free and robust stochastic optimisation procedure. A combination of an affine and two nonrigid B-spline transformations models the spatial relationship. The approach is embedded in a multi-resolution framework for both the image data and the transformation. No explicit regularisation is used.
Of the 34 submitted algorithms, our contribution achieved the 7-th place with an average rank of 13.13 (best 8.03, worst 31.46). The incorporation of a regularisation term may improve the ranking of the algorithm, since our final score was most negatively influenced by the score for folding.



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Source code

The source code of the methods described in this paper can be found in the image registration toolkit elastix, available at http://elastix.isi.uu.nl.

The exact parameter settings used in this paper can be found at the parameter file database of elastix at entry Par0011.

BibTeX entry

author = "{Marius Staring and Stefan Klein and Johan H.C. Reiber and Wiro J. Niessen and Berend C. Stoel}",
title = "{Pulmonary Image Registration With elastix Using a Standard Intensity-Based Algorithm}",
booktitle = "{Medical Image Computing and Computer-Assisted Intervention, Medical Image Analysis for the Clinic: A Grand Challenge}",
editor = "{Bram van Ginneken and Keelin Murphy and Tobias Heimann and Vladimir Pekar and Xiang Deng}",
address = "{Beijing, China}",
month = "{September}",
year = "{2010}",

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