Abstract
Automatic, non-rigid registration of blood vessels (and other tubular structures) within a timescale suitable for use in image-guided surgical applications remains a significant challenge. We describe a novel approach to this problem in which an extension to the coherent point drift (CPD) algorithm is developed to enable landmarks, such as vessel bifurcations, to improve the registration accuracy and speed of execution. The new method – referred to as landmark-guided CPD (LGCPD) – is validated using vessels extracted from brain MRA and liver MR images, and is shown to be robust to missing vessel segments and noise, commonly encountered in realworld applications.
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References
Aylward, S.R., Jomier, J., Weeks, S., Bullitt, E.: Registration and Analysis of Vascular Images. Int. J. Comput. Vision 55(2-3), 123–138 (2003)
Lange, T., Eulenstein, S., Hunerbein, M., Schlag, P.M.: Vessel-based non-rigid registration of MR/CT and 3D ultrasound for navigation in liver surgery. Computer Aided Surgery 8(5), 228–240 (2003)
Lange, T., Papenberg, N., Heldmann, S., Modersitzki, J., Fischer, B., Lamecker, H., Schlag, P.: 3D ultrasound-CT registration of the liver using combined landmark-intensity information. International Journal of Computer Assisted Radiology and Surgery 4(1), 79–88 (2009)
Reinertsen, I., Descoteaux, M., Siddiqi, K., Collins, D.L.: Validation of vessel-based registration for correction of brain-shift. Medical Image Analysis 11(4), 374–388 (2007)
Hipwell, J.H., Penney, G.P., McLaughlin, R.A., Rhode, K., Summers, P., Cox, T.C., Byrne, J.V., Noble, J.A., Hawkes, D.J.: Intensity-based 2-D-3-D registration of cerebral angiograms. IEEE Trans. Med. Imaging 22(11), 1417–1426 (2003)
Slomka, P.J., Mandel, J., Downey, D., Fenster, A.: Evaluation of voxel-based registration of 3-D power Doppler ultrasound and 3-D magnetic resonance angiographic images of carotid arteries. Ultrasound in Medicine & Biology 27(7), 945–955 (2001)
Penney, G.P., Blackall, J.M., Hamady, M.S., Sabharwal, T., Adam, A., Hawkes, D.J.: Registration of freehand 3D ultrasound and magnetic resonance liver images. Medical Image Analysis 8(1), 81–91 (2004)
Myronenko, A., Song, X.: Point Set Registration: Coherent Point Drift. IEEE Trans. on Pattern. Analysis. and Machine. Intelligence (2010) (in press) (pre prints)
Manniesing, R., Viergever, M., Niessen, W.: Vessel enhancing diffusion: A scale space representation of vessel structures. Medical Image Analysis 10(6), 815–825 (2006)
Frangi, A., Niessen, W., Vincken, K., Viergever, M.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998)
Homann, H.: Implementation of a 3D thinning algorithm. Insight Journal (2007)
Fang, Q., Boas, D.: Tetrahedral mesh generation from volumetric binary and gray-scale images. In: Proceedings of the Sixth IEEE International Conference on Symposium on Biomedical Imaging: From Nano to Macro, pp. 1142–1145. IEEE Press, Boston (2009)
Taylor, Z.A., Comas, O., Cheng, M., Passenger, J., Hawkes, D.J., Atkinson, D., Ourselin, S.: On modelling of anisotropic viscoelasticity for soft tissue simulation: Numerical solution and GPU execution. Medical Image Analysis 13(2), 234–244 (2009)
Crum, W.R., Tanner, C., Hawkes, D.J.: Anisotropic multi-scale fluid registration: evaluation in magnetic resonance breast imaging. Phys. Med. Biol. 50, 5153–5174 (2005)
Rijkhorst, E.J., Heanes, D., Odille, F., Hawkes, D., Barratt, D.: Simulating Dynamic Ultrasound using MR-derived Motion Models to assess Respiratory Synchronisation for Image-Guided Liver Interventions. In: Navab, N., Jannin, P. (eds.) IPCAI 2010. LNCS, vol. 6135, pp. 113–123. Springer, Heidelberg (2010)
Lesage, D., Angelini, E., Bloch, I., Funka-Lea, G.: A Review of 3D Vessel Lumen Segmentation Techniques: Models, Features and Extraction Schemes. Medical Image Analysis (2009)
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Hu, Y., Rijkhorst, EJ., Manber, R., Hawkes, D., Barratt, D. (2010). Deformable Vessel-Based Registration Using Landmark-Guided Coherent Point Drift. In: Liao, H., Edwards, P.J."., Pan, X., Fan, Y., Yang, GZ. (eds) Medical Imaging and Augmented Reality. MIAR 2010. Lecture Notes in Computer Science, vol 6326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15699-1_7
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DOI: https://doi.org/10.1007/978-3-642-15699-1_7
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