Par0010 - elastix

Registration Description

interpatient; affine + B-spline transformation; mutual information

Image data

Screen shot:



In this study, we use nonrigid registration to predict dementia.

Registration Settings

For parameter files see the Elastix Model Zoo repository on GitHub.

elastix version: 4.2

Command line call:

elastix -f image_i.mhd -m image_j.mhd -p par0010affine.txt -p par0010bspline.txt -out outputdir

Published in

S. Klein, M. Loog, F. van der Lijn, T. den Heijer, A. Hammers, M. de Bruijne, A. van der Lugt, R.P.W. Duin, M.M.B. Breteler and W.J. Niessen, Early diagnosis of dementia based on intersubject whole-brain dissimilarities, Proceedings of IEEE International Symposium on Biomedical Imaging: from Nano to Macro, 2010.

Other comments

A control point spacing of 15 mm was used for the B-spline transformation (in the finest resolution).


[1] J.G. Sled, A.P. Zijdenbos, and A.C. Evans. Nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans. Med. Imaging, vol. 17, no. 1, pp. 87–97, 1998

[2] A. Hofman, M.M.B. Breteler, C.M. van Duijn, G.P. Krestin, H.A. Pols, B.H.C. Stricker, H. Tiemeier, A.G. Uitterlinden, J.R. Vingerling, and J.C.M. Witteman. The rotterdam study: objectives and design update. Eur J Epidemiol, vol. 22, no. 11, pp. 819–829, 2007.

© 2020 Viktor van der Valk