Abstract
We present a novel system for 3-D visualisation of the heart and coronary arteries. Binary tags (generated offline) are combined with value-gradient transfer functions (specified online) allowing for interactive visualisation, while relaxing the offline segmentation criteria. The arteries are roughly segmented using a Hessian-based line filter and the pericardial cavity using a Fast Marching active contour. A comparison of different contour initialisations reveals that simple geometric shapes (such as spheres or extruded polygons) produce suitable results.
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Udupa, J.: Three-dimensional rendering in medicine: some common misconceptions. In: Medical Imaging: Visualization, Display, and Image-Guided Procedures, San Deigo, USA, SPIE, vol. 4319, pp. 660–670 (2001)
Lorensen, B., Cline, H.: Marching cubes: A high resolution 3D surface construction algorithm. In: Computer Graphics and Interactive Techniques, pp. 163–169. ACM Press, New York (1987)
Pfister, H., Lorensen, B., Bajaj, C., Kindlmann, G., Schroeder, W., Avila, L., Raghu, K., Machiraju, R., Lee, J.: The transfer function bake-off. IEEE Computer Graphics and Applications 21(3), 16–22 (2001)
Kniss, J., Kindlmann, G., Hansen, C.: Multidimensional transfer functions for interactive volume rendering. IEEE Transactions on Visualization and Computer Graphics 8(3), 270–285 (2002)
Tzeng, F., Lum, E., Ma, K.: An intelligent system approach to higher-dimensional classification of volume data. IEEE Transactions on Visualization and Computer Graphics 11(3), 273–284 (2005)
Weber, G., Dillard, S., Carr, H.: Topology-controlled volume rendering. IEEE Transactions on Visualization and Computer Graphics 13(2), 330–341 (2007)
Hadwiger, M., Berger, C., Hauser, H.: High-quality two-level volume rendering of segmented data sets on consumer graphics hardware. In: Visualization, pp. 301–308. IEEE Computer Society Press, Los Alamitos (2003)
Higuera, F.V., Hastreiter, P., Naraghi, R., Fahlbusch, R., Greiner, G.: Smooth volume rendering of labelled medical data on consumer graphics hardware. In: Medical Imaging: Visualization, Image-Guided Procedures, and Display. SPIE, vol. 5744, pp. 13–21 (2005)
Svakhine, N., Ebert, D.: Illustration motifs for effective medical volume illustration. IEEE Computer Graphics and Applications 25(3), 31–39 (2005)
Sato, Y., Nakajima, S., Shiraga, N., Atsumi, H., Yoshida, S., Koller, T., Gerig, G., Kikinis, R.: Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images. Medical Image Analysis 2(2), 143–168 (1998)
Sethian, J.: Level Set and Fast Marching Methods. Cambridge Press, Cambridge (1999)
Ibanez, L., Schroeder, L., Ng, W., Cates, L.: J.: The ITK Software Guide: The Insight Segmentation and Registration Toolkit. Kitware, Inc. (2007)
Holmes, D., Workman, E., Robb, R.: The NLM-Mayo Image Collection. The Insight Journal, special issue: MICCAI Open Science Workshop pp. 1–8 (August 2005)
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Mueller, D., Maeder, A., O’Shea, P. (2007). Tagged Volume Rendering of the Heart. In: Ayache, N., Ourselin, S., Maeder, A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007. MICCAI 2007. Lecture Notes in Computer Science, vol 4791. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75757-3_24
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DOI: https://doi.org/10.1007/978-3-540-75757-3_24
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