Abstract
We present a new algorithm for the non-rigid registration of 3D Magnetic Resonance (MR) intraoperative image sequences showing brain shift. The algorithm tracks key surfaces (cortical surface and the lateral ventricles) in the image sequence using an active surface algorithm. The volumetric deformation field of the objects the surfaces are embedded in is then inferred from the displacements at the boundary surfaces using a biomechanical finite element model of these objects. The biomechanical model allows us to analyse characteristics of the deformed tissues, such as stress measures. Initial experiments on an intra-operative sequence of brain shift show a good correlation of the internal brain structures after deformation using our algorithm, and a good capability of measuring surface as well as subsurface shift. We measured distances between landmarks in the deformed initial image and the corresponding landmarks in the target scan. The surface shift was recovered from up to 1cm down to less than 1mm, and subsurface shift from up to 6mm down to 3mm or less.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Bucholz, R.D., Yeh, D.D., Trobaugh, J., McDurmont, L.L., Sturm, C.D., Baumann, C., Henderson, J.M., Levy, A., Kessman, P.: The correction of stereotactic inaccuracy caused by brain shift using an intraoperative ultrasound device. In: Troccaz, J., Mösges, R., Grimson, W.E.L. (eds.) CVRMed-MRCAS 1997, CVRMed 1997, and MRCAS 1997. LNCS, vol. 1205, pp. 459–466. Springer, Heidelberg (1997)
Maurer, C.R., Hill, D.L.G., Martin, A.J., Liu, H., McCue, M., Rueckert, D., Lloret, D., Hall, W.A., Maxwell, R.E., Hawkes, D.J., Truwit, C.L.: Investigation of intraoperative brain deformation using a 1.5 tesla interventional mr system: Preliminary results. IEEE Transactions on Medical Imaging 17, 817–825 (1998)
Paulsen, D.D., Miga, M.I., Kennedy, F.E., Hoopes, P.J., Hartov, A., Roberts, D.W.: A Computational Model for Tracking Subsurface Tissue Deformation During Stereotactic Neuro-surgery. IEEE Transactions on Biomedical Engineering 46(2), 213–225 (1999)
Hill, D.L.G., Maurer, C.R., Martin, A.J., Sabanathan, S., Hall, W.A., Hawkes, D.J., Rueckert, D., Truwit, C.L.: Assessment of intraoperative brain deformation using interventional mr imaging. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 910–919. Springer, Heidelberg (1999)
Miga, M.I., Paulsen, K.D., Lemery, J.M., Eisner, S.D., Hartov, A., Kennedy, F.E., Roberts, D.W.: Model-updated image guidance: Initial clinical experiences with gravity-induced brain deformation. IEEE Transactions on Medical Imaging 18(10), 866–874 (1999)
Miga, M.I., Paulsen, K.D., Hoopes, P.J., Kennedy, F.E., Hartov, A., Roberts, D.W.: Invivo quantification of a homogeneous brain deformation model for updating preoperative images during surgery. IEEE Transactions on Medical Imaging 47(2), 266–273 (2000)
Skrinjar, O.M., Duncan, J.S.: Real time 3d brain shift compensation. In: Kuba, A., Sámal, M., Todd-Pokropek, A. (eds.) IPMI 1999. LNCS, vol. 1613, p. 42. Springer, Heidelberg (1999)
Hata, N., Nabavi, A., Warfield, S., Wells, W.M., Kikinis, R., Jolesz, F.A.: A volumetric optical flow method for measurement of brain deformation from intraoperative magnetic resonance images. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 928–935. Springer, Heidelberg (1999)
Hagemann, A., Rohr, K., Stiel, H.S., Spetzger, U., Gilsbach, J.M.: Biomechanical Modeling of the Human Head for Physically Based, Non-Rigid Image Registration. IEEE Transactions on Medicallmaging 18(10), 875–884 (1999)
Hata, N., Dohi, R., Warfield, S., Wells, W.M., Kikinis, R., Jolesz F.A.: Multimodality deformable registration of pre- and intraoperative images for MRI-guided brain surgery. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 1067–1074. Springer, Heidelberg (1998)
Bajcsy, R., Kovacic, S.: Multi-resolution Elastic Matching. Computer Vision, Graphics, and Image Processing 46, 1–21 (1989)
Davatzikos, C.: Spatial Transformation and Registration of Brain Images Using Elastically Deformable Models. Computer Vision and Image Understanding 66(2), 207–222 (1997)
Christensen, G.E., Joshi, S.C., Miller, M.I.: Volumetric Transformation of Brain Anatomy. IEEE Transactions on Medical Imaging 16(6), 864–877 (1997)
Bro-Nielsen, M., Gramkow, C.: Fast Fluid Registration of Medical Images. In: Höhne, K.H., Kikinis, R. (eds.) VBC 1996. LNCS, vol. 1131, pp. 267–276. Springer, Heidelberg (1996)
Skrinjar, O., Spenser, D., Duncan, J.: Brain Shift Modeling for use in Neurosurgery. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 641–649. Springer, Heidelberg (1998)
Kyriacou, S.K., Davatzikos, C., Zinreich, S.J., Bryan, R.N.: Nonlinear elastic registration of brain images with tumor pathology using a biomechanical model. IEEE Transactions on Medical Imaging 18(7), 580–592 (1999)
Fung, Y.C.: Biomechanics: Mechanical Properties of Living Tissues. Springer, Berlin (1993)
Walsh, E.K., Schettini, A.: Brain tissue elasticity and CSF elastance. Neurolog. Research 12, 123–127 (1990)
Zienkewickz, O.C., Taylor, R.L.: The Finite Element Method. McGraw Hill Book Co., New York (1987)
Schroeder, W., Martin, K., Lorensen, B.: The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics, 2nd edn. Prentice Hall PTR, New Jersey (1998)
Geiger, B.: Three dimensional modeling of human organs and its application to diagnosis and surgical planning. Technical Report 2105, INRIA (1993)
Ferrant, M., Warfield, S.K., Guttman, C.R.G., Jolesz, F.A., Kikinis, R.: 3D Image Matching Using a Finite Element Based Elastic Deformation Model. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 202–209. Springer, Heidelberg (1999)
Cohen, L.D., Cohen, I.: Finite Element Methods for Active Contour Models and Balloons for 2D and 3D Images. IEEE Transactions on Pattern Analysis and Machine Intelligence 15, 1131–1147 (1993)
Cuisenaire, O., Macq, B.: Fast Euclidean Distance Transformation by Propagation Using Multiple Neighborhoods. Computer Vision and Image Understanding 76(2), 163–172 (1999)
Ferrant, M., Cuisenaire, O., Macq, B.: Multi-Object Segmentation of Brain Structures in 3D MRI Using a Computerized Atlas. In: SPIE Medical Imaging 1999, vol. 3661-2, pp. 986–995 (1999)
Thiran, J.P., Warscotte, V., Macq, B.: A Queue-based Region Growing Algorithm for Accurate Segmentation of Multi-Dimensional Images. Signal Processing 60, 1–10 (1997)
Balay, S., Gropp, W.D., Curfman McInnes, L., Smith, B.F.: PETSc 2.0 for MPI - Portable, Extensible Toolkit for Scientific Computations (1998), http://www.mcs.anl.gov/petsc
Viola, P., Wells, W.M.: Alignment by Maximization of Mutual Information. International Journal of Computer Vision 24(2), 137–154 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ferrant, M., Warfield, S.K., Nabavi, A., Jolesz, F.A., Kikinis, R. (2000). Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Model. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000. MICCAI 2000. Lecture Notes in Computer Science, vol 1935. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-40899-4_3
Download citation
DOI: https://doi.org/10.1007/978-3-540-40899-4_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41189-5
Online ISBN: 978-3-540-40899-4
eBook Packages: Springer Book Archive