2D Rigid Registration of MR Scans using the 1d Binary Projections
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2D Rigid Registration of MR Scans using the 1d Binary Projections

Authors: Panos D. Kotsas

Abstract:

This paper presents the application of a signal intensity independent registration criterion for 2D rigid body registration of medical images using 1D binary projections. The criterion is defined as the weighted ratio of two projections. The ratio is computed on a pixel per pixel basis and weighting is performed by setting the ratios between one and zero pixels to a standard high value. The mean squared value of the weighted ratio is computed over the union of the one areas of the two projections and it is minimized using the Chebyshev polynomial approximation using n=5 points. The sum of x and y projections is used for translational adjustment and a 45deg projection for rotational adjustment. 20 T1- T2 registration experiments were performed and gave mean errors 1.19deg and 1.78 pixels. The method is suitable for contour/surface matching. Further research is necessary to determine the robustness of the method with regards to threshold, shape and missing data.

Keywords: Medical image, projections, registration, rigid.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334379

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[1] B.Zitova, J. Flusser, "Image registration methods: A survey", Image and Vision Computing 21 (2003) pp977-1000
[2] J.West, JM Fitzpatrick, MY Wang, BM Dawant, CR Maurer et Al. "Retrospective intermodality registration techniques for images of the head: Surface-based versus Volume-Based", IEEE Transactions on Medical Imaging, Vol. 18, No.2,February 1999, pp144-150.
[3] A.Roche, X.Pennec, G. Malandain and N. Ayache, "Rigid registration of 3-D Ultrasound with MR images: A new approach combining intensity and gradient information", IEEE Transactions on Medical Imaging, Vol 20, No. 10, October 2001, pp1038-1049.
[4] E.B. van de Kraats, G.P.Penney, D.Tomazevic, T.van Walsum and W.J.Niessen, "Standardized evaluation methodology for 2D-3D registration", IEEE Transactions on Medical Imaging, Vol. 24, No.9, Sept 2005, pp 1177-1189.
[5] R.A.McLaughlin, J.Hipwell, D.J.Hawkes, J.A.Noble, J.V.Byrne et. al. , "A comparison of a similarity-based and a feature-based 2d-3d registration method for neurointerventional use", IEEE Transactions on Medical Imaging, Vol.24, No.8 August 2005, pp1058-1066.
[6] C.R.Maurer, R.J.Maciunas, J.M.Fitzpatrick, " Registration of head CT images to physical space using a weighted combination of points and surfaces", IEEE Transactions on Medical Imaging, Vol. 17, No. 5, October 1998, pp. 753-761.
[7] 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.
[8] 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.
[9] 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.
[10] P.Kotsas, "Non-rigid registration of medical images using an automated method",EnformatikaVolume7,August2005,pp199-201, www.enformatika.org.
[11] R.Jain, R.Kasturi,B.G.Schunck,"Machine Vision", Mc Graw-Hill, New York, 1995.