Non-Rigid Registration of Medical Images Using an Automated Method
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32799
Non-Rigid Registration of Medical Images Using an Automated Method

Authors: Panos Kotsas

Abstract:

This paper presents the application of a signal intensity independent registration criterion for non-rigid body registration of medical images. The criterion is defined as the weighted ratio image of two images. The ratio is computed on a voxel per voxel basis and weighting is performed by setting the ratios between signal and background voxels to a standard high value. The mean squared value of the weighted ratio is computed over the union of the signal areas of the two images and it is minimized using the Chebyshev polynomial approximation. The geometric transformation model adopted is a local cubic B-splines based model.

Keywords: Medical image, non-rigid, registration.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1073457

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1404

References:


[1] B.Zitova, J. Flusser, "Image registration methods: A survey", Image and Vision Computing 21 (2003) pp977-1000
[2] J. Kybic and M. Unser, "Fast parametric elastic image registration", IEEE Transactions on Image Processing Vol 12, No 11, Nov 2003, pp 1427-1442
[3] L.O.Hall, A.M.Bensaid, L.P.Clarke, R.P.Velthuizen, M.L. Silbiger et. Al. " A comparison of neural networks and fuzzy clustering techniques in segmenting magnetic resonance images of the brain", IEEE Trans. Neural Netw. 2 (1992), pp672-683.
[4] W.H.Press, S.A.Teukolsky, W.T.Vetterling, B.P.Flannery, Numerical recipes in C, The art of scientific computing, 2nd edition, Cambridge University Press, Cambridge 1992.
[5] J.Kybic, P. Thevenaz, A. Nirkko, M.Unser, "Unwarping of unidirectionally distorted EPI images", IEEE Transactions on Medical Imaging, vol.19, no.2, pp80-93, Feb. 2000.
[6] P.Kotsas, S. Malasiotis, M. Strintzis,D.W.Piraino and J.F.Cornhill, "A fast and accurate method for registration of MR images of the head", International Journal of Medical Informatics 52(1998) pp167-182.
[7] P.Kotsas, "A new automated method for three dimensional registration of MR images of the head", Master-s Thesis, Dept. of Biomedical Engineering, The Ohio-State University.