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Rigid Registration of Reduced Dimension Images using 1D Binary Projections

Authors: Panos D. Kotsas, Tony Dodd

Abstract:

The purpose of this work is to present a method for rigid registration of medical images using 1D binary projections when a part of one of the two images is missing. We use 1D binary projections and we adjust the projection limits according to the reduced image in order to perform accurate registration. We use the variance of the weighted ratio as a registration function which we have shown is able to register 2D and 3D images more accurately and robustly than mutual information methods. The function is computed explicitly for n=5 Chebyshev points in a [-9,+9] interval and it is approximated using Chebyshev polynomials for all other points. The images used are MR scans of the head. We find that the method is able to register the two images with average accuracy 0.3degrees for rotations and 0.2 pixels for translations for a y dimension of 156 with initial dimension 256. For y dimension 128/256 the accuracy decreases to 0.7 degrees for rotations and 0.6 pixels for translations.

Keywords: binary projections, image registration, reduceddimension images.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1082659

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References:


[1] Zitova, B., Flusser, J.: Image Registration Methods: A Survey. In: Image and Vision Computing, vol. 2, pp977-1000 (2003).
[2] Khamene, A., Chisu, R., Wein, W., Navab, N., Sauer, F.: A Novel Projection-Based Approach for Medical Image Registration. In: Third International Workshop on Biomedical Image Registration(WBIR), pp 247-256 (2006).
[3] Chan, H.Y., Chung, A.C.S.: Efficient 3D-3D Vascular Registration Based on Multiple Orthogonal 2D Projections. In: Second International Workshop on Biomedical Image Registration(WBIR), pp 301-310 (2003)
[4] Cain, S.C., Hayat M.M., Armstrong E.E.: Projection Based Image Registration in the Presence of Fixed Pattern Noise. In: IEEE Transactions on Image Processing, Vol. 10, No 12, pp 1860-72 (December 2001).
[5] Press ,W.H., Teukolsky, S.A., Vetterling, W.T., Flannery, B.P.: Numerical Recipes in C, The Art of Scientific Computing, 2nd edition, Cambridge University Press, Cambridge (1992).
[6] Pluim, J.P.W., Maintz, J.B.A., Viergever, M.A.: Mutual-Information- Based Registration of Medical Images: A Survey. In: IEEE Transactions on Medical Imaging, Vol. 22, No. 8, pp986-1004(August 2003).
[7] Slomka, P.J., Baum, R.P.: Multimodality Image Registration with Software: state-of-the-art. In: Eur J Nucl Med Mol Imaging, Vol. 36 (Suppl 1):S44-S55 (2009).
[8] Lu, X., Zhang, S., Su, H., Chen, Y.: Mutual Information-Based Multimodal Image Registration Using a Novel Joint Histogram Estimation. In: Computerized Medical Imaging and Graphics, Vol. 32, pp. 202-209, (2008).
[9] Kotsas, P., Malasiotis, S., Strintzis, M., Piraino, D.W. and Cornhill, J.F.: A Fast and Accurate Method for Registration of MR Images of the Head. In: International Journal of Medical Informatics, Vol. 52, pp167- 182 (1998).
[10] Kotsas P, "2D Rigid Registration of MR Scans Using 1D Binary Projections"
[11] Personal Site of Panos Kotsas: http://www.kotsas.gr