Abstract
A method by which to register multimodality medical images accommodating soft tissue deformation is presented in the context of interventional therapy with a MR scanner. Accuracy testing with arbitrarily deformed MR images and application studies of a pig’s brain were undertaken to evaluate the feasibility of the method. When Mutual Information is employed as the voxel similarity measure in the matching energy function, the algorithm can accommodate multimodality images. Coupled with rigid registration, the deformable registration of pre- and intraoperative multi-modality images enables surgeons to precisely define critical anatomical structures, such as vessels and functional areas, and to localize and optimize trajectories. The method directly and automatically works on volumetric multimodality images. Thus the algorithm is suitable for intraoperative registration, where stability and simplicity are desirable.
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Keywords
- Single Photon Emission Compute Tomography
- Mutual Information
- Multimodality Image
- Rigid Registration
- Deformable Registration
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
Schenck, J. F., Jolesz, F. A., Roemer, P. B., Cline, H. E., Lorensen, W. E., Kikinis, R., Silverman, S. G., Hardy, C. J., Barber, W. D., Laskaris, E. T., and et al.: Superconducting open-configuration MR imaging system for image-guided therapy. Radiology 195 (1995) 805–814
Black, P. M., Moriarty, T., Alexander, E., 3rd, Stieg, P., Woodard, E. J., Gleason, P. L., Martin, C. H., Kikinis, R., Schwartz, R. B., and Jolesz, F. A.: Development and implementation of intraoperative magnetic resonance imaging and its neurosurgical applications. Neurosurgery 41 (1997) 831–845
Moriarty, T. M., Kikinis, R., Jolesz, F. A., Black, P. M., and Alexander III, E.: Magnetic resonance imaging therapy. Intraoperative MR imaging. Neurosurg Clin N Am 7 (1996) 323–331
Hata, N., Dohi, T., Kikinis, R., Jolesz, F., and Wells III, W. M.: Computer assisted intra-operative MR-guided therapy: pre-and intra-operative image registration, enhanced three-dimensional display, deformable registration. 7th Annual meeting of Japan Society of Computer Aided Surgery, Sapporo, Japan, (1997) 119–120
Viola, P. A.: Alignhment by Maximization of Mutual Information. Artificial Intelligence Laboratory. Cambridge, MA: Massachusetts Institute of Technology (1995) 155.
Wells III, W. M., Viola, P., Atsumi, H., Nakajima, S., and Kikinis, R.: Multi-Modal Volume Registration by Maximization of Mutual Information. Medical Image Analysis 1 (1996) 35–51
Kato, A., Yoshimine, T., Hayakawa, T., Tomita, Y., Ikeda, T., Mitomo, M., Harada, K., and Mogami, H.: A frameless, armless navigation system for computer-assisted neurosurgery. J Neurosurg 74 (1991) 845–849
Bajcsy, R. and Kovacic, S.: Multiresolution elastic matching. Comp Vis Graph Image Proc 46 (1989) 1–21
Gee, J. C., Reivich, M., and Bajcsy, R.: Elastically deforming 3D atlas to match anatomical brain images. J of Compt Assist Tomogr 17 (1993) 225–236
Collins, D. L., Peters, T. M., Dai, W., and Evans, A. C.: Model based segmentation of individual brain structures from MRI data. Visualization in Biomedical Computing, Chapell Hill, NC, (1992) 10–23
Christensen, G. E., Rabbitt, R. D., and Miller, M. I.: 3D brain mapping using a deformable neuroanatomy. Physics in Medicine and Biology 39 (1994) 609–618
Miller, M. I., Christensen, G. E., Amit, Y., and Grenander, U.: Mathematical textbook of deformable neuroanatomies. National Academy of Sciences, (1993) 11944–11948
Papoulis, A.: Probability, Random Variables, and Stochastic Processes, Third Edition. McGraw-Hill,New York, NY (1991)
Wells III, W. M., Halle, M., Kikinis, R., and Viola, P.: Alignment and tracking using graphics hardware: demonstration with software. RSNA annual meeting, Chicago, IL, (1996)
Washizu, K.: Variational methods in elasticity and plasticity. Pergamon Press,Headington Hill Hall, Oxford (1968)
Christensen, G. E., Miller, M. I., and Vannier, M.: A 3D deformable magnetic resonance textbook based on elasticity. Applications of computer vision in medical image processing, Stanford Univ., (1994) 153–156
West, J., Fitzpatrick, J. M., Wang, M. Y., Dawant, B. M., Maurer, C. R. J., Kessler, R. M., Maciunas, R. J., Barillot, C., Lemoine, D., Collignon, A., Maes, F., Suetens, P., Vandermeulen, D., van den Elsen, P. A., Napel, S., Sumanaweera, T. S., Harkness, B., Hemler, P. F., Hill, D. L., Hawkes, D. J., Studholme, C., Maintz, J. B., Viergever, M. A., Malandain, G., Woods, R. P., and al., e.: Comparison and evaluation of retrospective intermodality brain image regsistraion techniques. J Comput Assist Tomogr 21 (1997) 554–566
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Hata, N., Dohi, T., Warfield, S., Wells, W., Kikinis, R., Jolesz, F.A. (1998). Multimodality deformable registration of pre- and intraoperative images for MRI-guided brain surgery. In: Wells, W.M., Colchester, A., Delp, S. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI’98. MICCAI 1998. Lecture Notes in Computer Science, vol 1496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056296
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DOI: https://doi.org/10.1007/BFb0056296
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