Abstract
In this paper, a comparison of single-view gradient-based 2D/3D rigid registration methods is presented. To achieve dimensional correspondence between the images, projection and back-projection strategies have been proposed in the literature. Two similarity measures that are applicable for both strategies are involved in the comparison. Extensions of the similarity measure are proposed and compared to the original proposals. It is demonstrated that the projection strategy achieves a median accuracy up to 0.8 mm, which outperforms the back-projection strategy with a median accuracy of up to 1.1 mm. Our extension of the covariance-based similarity measure in combination with the back-projection strategy achieves the highest convergence range (up to 34.0 mm), while the the maximum achieved convergence range for the projection strategy is 31.3 mm.
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References
Markelj P, Tomaževič D, Likar B, et al. A review of 3D/2D registration methods for image-guided interventions. Med Image Anal. 2012;16(3):642–61.
Gendrin C, Markelj P, Pawiro SA, et al. Validation for 2D/3D registration II: the comparison of intensity- and gradient-based merit functions using a new gold standard data set. Med Phys. 2011;38(3):1491–502.
Wein W, Roeper B, Navab N. 2D/3D registration based on volume gradients. Proc SPIE. 2005;5747:144–50.
Tomaževič D, Likar B, Slivnik T, et al. 3-D/2-D registration of CT and MR to X-ray images. IEEE Trans Med Imaging. 2003;22(11):1407–16.
Markelj P, Tomaževič D, Pernuš F, et al. Robust gradient-based 3-D/2-D registration of CT and MR to X-ray images. IEEE Trans Med Imaging. 2008;27(12):1704–14.
Špiclin Ž, Likar B, Pernuš F., Fast and Robust 3D to 2D image registration by backprojection of gradient covariances. Biomed Image Regist. 2014;8545:124–33.
Wang J, Borsdorf A, Heigl B, et al. Gradient-based differential approach for 3-D motion compensation in interventional 2-D/3-D image fusion. Proc Int Conf 3D Vis. 2014;1:293–300.
van de Kraats EB, Penney GP, Tomaževič D, et al. Standardized evaluation methodology for 2-D-3-D registration. IEEE Trans Med Imaging. 2005;24(9):1177–89.
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© 2016 Springer-Verlag Berlin Heidelberg
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Schaffert, R., Wang, J., Borsdorf, A., Hornegger, J., Maier, A. (2016). Comparison of Rigid Gradient-Based 2D/3D Registration Using Projection and Back-Projection Strategies. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2016. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49465-3_26
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DOI: https://doi.org/10.1007/978-3-662-49465-3_26
Publisher Name: Springer Vieweg, Berlin, Heidelberg
Print ISBN: 978-3-662-49464-6
Online ISBN: 978-3-662-49465-3
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