Abstract
This paper describes two new methods of rendering multimodal images developed for a neurosurgical planning and guidance system (VISLAN). In our volume rendering technique we introduce a colour dependent filtering mechanism that enhances the representation of objects and improves the visualisation of spatial relationships. To achieve a good compromise between rendering speed and image quality, surface rendering is divided into two processes, a fast surface voxel projection and a surface refining and shading process. By considering the reflections from voxels both near to and on a surface in shading calculations, renderings become less sensitive to small surface extraction errors. A scheme which intermixes the volume rendering for some objects and surface rendering for others in the same scene is also presented. We show examples to illustrate each method in the context of preoperative surgical planning and intraoperative guidance.
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References
Maiunas R (ed), Interactive Image-Guided Neurosurgery. American Association of Neurological Surgeons, 1993.
Hôhne K, Bernstein R. Shading 3D images from CT using gray level gradients. IEEE Transactions on Medical Imaging 1986; 5: 45–47.
Drebin R, Carpenter L, Hawahan P. Volume Rendering. Computer Graphics 1988; 22: 65–74.
Levoy M. Display of Surface from Volume Data. IEEE Computer Graphics & Applications 1988; 29–37.
Udupa JK, Odhner D. Fast visualization, manipulation, and analysis of binary volumetric objects. IEEE Computer Graphics And Applications 1991; 11: 53–62.
Colchester ACF, Zhao J, Henri C, et al. Craniotomy Simulation and Guidance Using a Stereo Video Based Tracking System. Visualiazation in Biomedical Computing 1994, R. Robb(ed), SPIE, volume 2359, 541–551.
Hanson D, Larson A, Karwoski R, Camp J, Robb R. Simultaneous and Interactive Rendering of Multiple Objects. 3D Advanced Image Processing in Medicine–RENNES’92, France, 1992; 9–11.
Gilchrist R. A Multi-Mode 3D Render for Clinical and Scientific Visualisation. Visualisation in Biomedical Computing 1992, R. Robb (ed), SPIE 1808, 362–373.
Ruff CF, Hill DLG, Robinson GP, Hawkes D. Volume Rendering of Multimodal Images for the Planning of Skull Base Surgery. Computer Assisted Radiology ‘83, Herausgegeben Von (ed), Springer-Verlag, 1993; 574–579.
Boissonnat J. Shape reconstruction from planar cross-sections. Comp Vis Graph and Image Processing 1988; 44 (1): 1–29.
Hôhne K, Bomans M, Pommert A, Riemer M, et al. 3D Visualization of tomographic volume data using the generalized voxel model. Visual Computer 1990; 6: 28–36.
Griffin L, Colchester ACF, Roll SA, Studholme CS. Hierarchical Segmentation Satisfying Constraints. British Machine Vision Conference 94, E. Hancock (ed ), BMVA Press, 1994;
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© 1995 Springer-Verlag Berlin Heidelberg
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Zhao, J., Colchester, A.C.F., Henri, C.J., Hawkes, D., Ruff, C. (1995). Visualisation of Multimodal Images for Neurosurgical Planning and Guidance. In: Ayache, N. (eds) Computer Vision, Virtual Reality and Robotics in Medicine. CVRMed 1995. Lecture Notes in Computer Science, vol 905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49197-2_5
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DOI: https://doi.org/10.1007/978-3-540-49197-2_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-59120-7
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