Abstract
Because of the accuracy required in a neurosurgical procedure, tracking intra-operative deformations is a challenging task. Furthermore, the clinical demand for fast non rigid registration will have to be met in a very near future. In this paper, we propose a patient-specific biomechanical model based on block-matching in order to register two MR images of the same patient with a parallel implementation. Compared to other intra-operative registration techniques, this method combines a viscoelastic mechanical regularization with a correlation-based iconic energy term. We first shortly present the theoretical aspects of our method (more detailed in [9]). Then we describe in more details the parallel implementation of the algorithm. Finally we present a retrospective registration study made of four pre/post operative MRI pairs.
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References
Clatz, O., Delingette, H., Bardinet, E., Dormont, D., Ayache, N.: Patient-specific biomechanical model of the brain: application to Parkinson’s disease procedure. In: Ayache, N., Delingette, H. (eds.) IS4TM 2003. LNCS, vol. 2673, Springer, Heidelberg (2003)
Ferrant, M., Nabavi, A., Macq, B., Black, P., Jolesz, F., Kikinis, R., Warfield, S.: Serial registration of intraoperative mr images of the brain. Medical Image Analysis 6(4), 337–360 (2002)
Kyriacou, S., Mohamed, A., Miller, K., Neff, S.: Brain mechanics for neurosurgery: Modeling issues. Biomechanics and Modeling in Mechanobiology (2002)
Mangin, J.-F., Coulon, O., Frouin, V.: Robust brain segmentation using histogram scale-space analysis and mathematical morphology. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 1230–1241. Springer, Heidelberg (1998)
Ourselin, S., Roche, A., Prima, S., Ayache, N.: Block matching: A general framework to improve robustness of rigid registration of medical images. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds.) MICCAI 2000. LNCS, vol. 1935, pp. 557–566. Springer, Heidelberg (2000)
Prima, S., Ourselin, S., Ayache, N.: Computation of the mid-sagittal plane in 3D brain images. IEEE Transaction on Medical Imaging 21(2), 122–138 (2002)
Rexilius, J., Warfield, S., Guttmann, C., Wei, X., Benson, R., Wolfson, L., Shenton, M., Handels, H., Kikinis, R.: A novel nonrigid registration algorithm and applications. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 923–931. Springer, Heidelberg (2001)
Schnabel, J.A., Tanner, C., Castellano-Smith, A., Leach, M.O., Hayes, C., Degenhard, A., Hose, R., Hill, D.L.G., Hawkes, D.J.: Validation of Non-rigid Registration Using Finite Element Methods. In: Insana, M.F., Leahy, R.M. (eds.) IPMI 2001. LNCS, vol. 2082, pp. 344–357. Springer, Heidelberg (2001)
Sermesant, M., Clatz, O., Delingette, H., Ayache, N.: Non-rigid registration combining volumetric biomechanical model and block-matching. In: Ellis, R.E., Peters, T.M. (eds.) MICCAI 2003. LNCS, Springer, Heidelberg (2003) (submitted)
Skrinjar, O., Nabavi, A., Duncan, J.: Model-driven brain shift compensation. Medical Image Analysis 6(4), 361–374 (2002)
Warfield, S., Talos, F., Tei, A., Bharatha, A., Nabavi, A., Ferrant, M., Kikinis, R., Black, P., Jolesz, F.: Real-time registration of volumetric brain MRI by biomechanical simulation of deformation during image guided neurosurgery. Computing and Visualization in Science 5(1), 3–11 (2002)
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Sermesant, M., Clatz, O., Li, Z., Lantéri, S., Delingette, H., Ayache, N. (2003). A Parallel Implementation of Non-rigid Registration Using a Volumetric Biomechanical Model. In: Gee, J.C., Maintz, J.B.A., Vannier, M.W. (eds) Biomedical Image Registration. WBIR 2003. Lecture Notes in Computer Science, vol 2717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39701-4_42
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DOI: https://doi.org/10.1007/978-3-540-39701-4_42
Publisher Name: Springer, Berlin, Heidelberg
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