Abstract
We propose an iterative refinement framework that improves the accuracy of intraoperative intensity-based 2D/3D registration. The method optimizes both the extrinsic camera parameters and the object pose. The algorithm estimates the transformation between the fiducials and the patient intraoperatively using a small number of X-ray images. The proposed algorithm was validated in an experiment using a cadaveric phantom, in which the true registration was acquired from CT data. The results of 50 registration trials with randomized initial conditions on a pair of X-ray C-arm images taken at 32( angular separation showed that the iterative refinement process improved the translational error by 0.32 mm and the rotational error by 0.61 degrees when compared to the 2D/3D registration without iteration. This tool has the potential to allow routine use of image guided therapy by computing registration parameters using only two X-ray images.
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References
Moghari, M.H., Abolmaesumi, P.: Distribution of fiducial registration error in rigid-body point-based registration. IEEE Trans. Med. Imaging 28(11), 1791–1801 (2009)
Gueziec, A., Kazanzides, P., Williamson, B., Taylor, R.H.: Anatomy-based registration of CT-scan and intraoperative X-ray images for guiding a surgical robot. IEEE Trans. Med. Imaging 17(5), 715–728 (1998)
Chen, X., Gilkeson, R.C., Fei, B.: Automatic 3D-to-2D registration for CT and dual-energy digital radiography for calcification detection. Med. Phys. 34(12), 4934–4943 (2007)
Scarvell, J.M., Pickering, M.R., Smith, P.N.: New registration algorithm for determining 3D knee kinematics using CT and single-plane fluoroscopy with improved out-of-plane translation accuracy. J. Orthop. Res. (October 1, 2009)
Livyatan, H., Yaniv, Z., Joskowicz, L.: Gradient-based 2-D/3-D rigid registration of fluoroscopic X-ray to CT. IEEE Trans. Med. Imaging 22(11), 1395–1406 (2003)
Jain, A., Fichtinger, G.: C-arm tracking and reconstruction without an external tracker. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006, Part I. LNCS, vol. 4190, pp. 494–502. Springer, Heidelberg (2006)
Sadowsky, O.: Image registration and hybrid volume reconstruction of bone anatomy using a statistical shape atlas [dissertation]. The Johns Hopkins University (2008)
Wells III, W.M., Viola, P., Atsumi, H., Nakajima, S., Kikinis, R.: Multi-modal volume registration by maximization of mutual information. Med. Image Anal. 1(1), 35–51 (1996)
Nelder, J.A., Mead, R.: A simplex method for function minimization. The Computer Journal 7(4), 308–313 (1965)
Sadowsky, O., Cohen, J.D., Taylor, R.H.: Projected tetrahedra revisited: A barycentric formulation applied to digital radiograph reconstruction using higher-order attenuation functions. IEEE Trans. Vis. Comput. Graph. 12(4), 461–473 (2006)
Sadowsky, O., Chintalapani, G., Taylor, R.H.: Deformable 2D-3D registration of the pelvis with a limited field of view, using shape statistics. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 519–526. Springer, Heidelberg (2007)
Pluim, J.P., Maintz, J.B., Viergever, M.A.: Image registration by maximization of combined mutual information and gradient information. IEEE Trans. Med. Imaging 19(8), 809–814 (2000)
Horn, B.K.P.: Closed-form solution of absolute orientation using unit quaternions. J. Opt. Soc. Am. A. 4(4), 629–642 (1987)
Gramkow, C.: On averaging rotations. International Journal of Computer Vision 42(1), 7–16 (2001)
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Otake, Y., Armand, M., Sadowsky, O., Armiger, R.S., Kazanzides, P., Taylor, R.H. (2010). An Iterative Framework for Improving the Accuracy of Intraoperative Intensity-Based 2D/3D Registration for Image-Guided Orthopedic Surgery. In: Navab, N., Jannin, P. (eds) Information Processing in Computer-Assisted Interventions. IPCAI 2010. Lecture Notes in Computer Science, vol 6135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13711-2_3
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DOI: https://doi.org/10.1007/978-3-642-13711-2_3
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