Abstract
Volume transformations of medical images play an important role for many applications such as registration of different modalities, mapping atlases onto clinical data, or simulation of surgical procedures. While registration and atlas mapping can for the major number of applications be performed without tight time constraints, it is essential for simulation systems that they allow real-time interaction. As any computational method in volumes is usually very time consuming, current approaches do mainly concentrate on surface manipulations instead of transforming the entire volume. This paper describes an approach, which overcomes this problem by first defining the volume manipulation on basis of surface models, which ensure real time performance, and in a second step the transformation is applied to the entire volume by interpolating the mapping parameters using scattered data interpolation methods.
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References
Ayache, N.: Medical computer vision, virtual reality and robotics. Image and Vision Computing 13, 4 (1995), 295–313.
Bookstein, F. L.: Morphometric tools for landmark data. Cambridge University Press, Cambridge, 1991. (ISBN 0-521-38385-4).
Cotin, S., Delingette, H., Ayache, N.: Real Time Volumetric Deformable Models for Surgery Simulation. In Höhne, K. H., Kikinis, R. (Eds.): Visualization in Biomedical Computing 1996. Lecture Notes in Computer Science 1131, Springer-Verlag, Heidelberg, 1996, 535–540.
Glaeser, G.: Fast Algorithms for 3D-Graphics. Springer-Verlag, Heidelberg, 1995. (ISBN 3-540-94288-2).
Hill, D. L., Studholme, C., Hawkes, D. J.: Voxel Similarity Measures for Automated Image Registration. In Robb, R. A. (Ed.): Visualization in Biomedical Computing 1994, Proc. SPIE 2359. Rochester, MN, 1994, 205–216.
Höhne, K. H., Pflesser, B., Pommert, A., Riemer, M., Schiemann, T., Schubert, R., Tiede, U.: A new representation of knowledge concerning human anatomy and function. Nature Med. 1, 6 (1995), 506–511.
Lorensen, W. E., Cline, H. E.: Marching cubes: A high resolution 3D surface construction algorithm. Comput. Graphics 21, 4 (1987), 163–169.
MacDonald, D., Avis, D., Evans, A. C: Multiple Surface Identification and Matching in Magnetic Resonance Images. In Robb, R. A. (Ed.): Visualization in Biomedical Computing 1994, Proc. SPIE 2359. Rochester, MN, 1994, 160–169.
Pommert, A., Bomans, M., Höhne, K. H.: Volume visualization in magnetic resonance angiography. IEEE Comput. Graphics Appl. 12, 5 (1992), 12–13.
Ruprecht, D., Müller, H.: Free form deformations with scattered data interpolation methods. In Farin, G. et al. (Eds.): Geometric Modelling (Computing Suppl. 8). Springer-Verlag, 1993, 267–281.
Schiemann, T., Bomans, M., Tiede, U., Höhne, K. H.: Interactive 3D-segmentation. In Robb, R. A. (Ed.): Visualization in Biomedical Computing II, Proc. SPIE 1808. Chapel Hill, NC, 1992, 376–383.
Shepard, D.: A two-dimensional interpolation function for irregularly spaced data. In Proc. of the 23rd National Conference of the ACM. ACM-Press, New York, 1968, 517–524.
Thompson, P., Toga, A. W.: A Surface-Based Technique for Warping Three-Dimensional Images of the Brain. IEEE Trans. Med. Imaging 15, 4 (1996), 402–417.
Tiede, U., Schiemann, T., Höhne, K. H.: Visualizing the Visible Human. IEEE Comput. Graphics Appl. 16, 1 (1996), 7–9.
van den Elsen, P. A., Pol, E.-J. D., Viergever, M. A.: Medical image matching — A review with classification. IEEE Engng. Med. Biol. 12, 1 (1993), 26–39.
Wilmer, F., Tiede, U., Höhne, K. H.: Reduktion der Oberflächenbeschreibung triangulierter Oberflächen durch Anpassung an die Objektform. In Fuchs, S., Hoffmann, R. (Eds.): Mustererkennung 1992, Proc. 14. DAGM-Symposium, Springer-Verlag, Berlin, 1992, 430–436.
Wolberg, G.: Digital Image Warping. IEEE Computer Society Press, Los Alamitos, CA, 1990.
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© 1997 Springer-Verlag Berlin Heidelberg
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Schiemann, T., Höhne, K.H. (1997). Definition of volume transformations for volume interaction. In: Duncan, J., Gindi, G. (eds) Information Processing in Medical Imaging. IPMI 1997. Lecture Notes in Computer Science, vol 1230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63046-5_19
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DOI: https://doi.org/10.1007/3-540-63046-5_19
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