Abstract
As encoding spatial information into mutual information (MI) can improve the nonrigid registration against bias fields where the conventional MI is challenged, we propose to unify this encoding into the computation of the joint probability distribution function (PDF). The PDF is computed based on local volumes while the global intensity information is also incorporated to maintain the global intensity class linkage. We demonstrate this computation method can unify the PDF computation in regional MI, conditional MI, and the conventional MI. We then derive two categories of methods and apply them to different registration tasks. The experimental results demonstrate that both categories can significantly improve the registration.
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References
Viola, P.A., Wells III, W.M.: Alignment by maximization of mutual information. In: International Conference on Computer Vision (ICCV), pp. 16–23 (1995)
Collignon, A., Maes, F., Delaere, D., Vandermeulen, D., Suetens, P., Marchal, G.: Automated multimodality medical image registration using information theory. In: IPMI, Computational Imaging and Vision, vol. 3, pp. 263–274 (1995)
Pluim, J.P.W., Antoine Maintz, J.B., Viergever, M.A.: Mutual information based registration of medical images: A survey. IEEE Trans. Med. Imaging 22(8), 986–1004 (2003)
Mellor, M., Brady, M.: Phase mutual information as a similarity measure for registration. Medical Image Analysis 9, 330–343 (2005)
Loeckx, D., Slagmolen, P., Maes, F., Vandermeulen, D., Suetens, P.: Nonrigid image registration using conditional mutual information. In: Karssemeijer, N., Lelieveldt, B. (eds.) IPMI 2007. LNCS, vol. 4584, pp. 725–737. Springer, Heidelberg (2007)
Likar, B., Pernus, F.: A hierarchical approach to elastic registration based on mutual information. Image and Vision Computing 19, 33–44 (2001)
Pluim, J.P.W., Antoine Maintz, J.B., Viergever, M.A.: Interpolation artefacts in mutual information-based image registration. Computer Vision and Image Understanding 77(2), 211–232 (2000)
Studholme, C., Drapaca, C.S., Iordanova, B., Cardenas, B.: Deformation-based mapping of volume change from serial brain MRI in the presence of local tissue contrast change. IEEE Trans. Med. Imaging 25(5), 626–639 (2006)
Zhuang, X., Rhode, K., Arridge, S., Razavi, R., Hill, D., Hawkes, D.J., Ourselin, S.: An atlas-based segmentation propagation framework using locally affine registration – application to automatic whole heart segmentation. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part II. LNCS, vol. 5242, pp. 425–433. Springer, Heidelberg (2008)
Studholme, C., Hill, D., Hawkes, D.J.: An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition 32(1), 71–86 (1999)
Maes, F., Collignon, A., Vandermeulen, D., Marchal, G., Suetens, P.: Multimodality image registration by maximization of mutual information. IEEE Trans. Med. Imaging 16(2), 187–198 (1997)
Loeckx, D., Maes, F., Vandermeulen, D., Suetens, P.: Comparison between parzen window interpolation and generalised partial volume estimation for nonrigid image registration using mutual information. In: Pluim, J.P.W., Likar, B., Gerritsen, F.A. (eds.) WBIR 2006. LNCS, vol. 4057, pp. 206–213. Springer, Heidelberg (2006)
Thévenaz, P., Unser, M.: Optimization of mutual information for multiresolution image registration. IEEE Transactions on Image Processing 9(12), 2083–2099 (2000)
Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.: Nonrigid registration using free-form deformations: Application to breast MR images. IEEE Trans. Med. Imaging 18, 712–721 (1999)
Zhuang, X., Rhode, K., Razavi, R., Hawkes, D.J., Ourselin, S.: Free-form deformations using adaptive control point status for whole heart MR segmentation. In: Ayache, N., Delingette, H., Sermesant, M. (eds.) FIMH 2009. LNCS, vol. 5528, pp. 303–311. Springer, Heidelberg (2009)
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Zhuang, X., Hawkes, D.J., Ourselin, S. (2009). Unifying Encoding of Spatial Information in Mutual Information for Nonrigid Registration. In: Prince, J.L., Pham, D.L., Myers, K.J. (eds) Information Processing in Medical Imaging. IPMI 2009. Lecture Notes in Computer Science, vol 5636. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02498-6_41
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DOI: https://doi.org/10.1007/978-3-642-02498-6_41
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