The f3d tools for processing and visualization of volumetric data

• Autorzy: Šrámek M. , Dimitrov L. I. , Straka M. , Červeňanský M.
• Języki publikacji: EN

Abstrakty

EN

In this paper we introduce the f3d format for storage of volumetric data together with a suite of tools for processing, segmentation and visualization of such data. Both the format and tools were developed for a highly variable and rapidly evolving academic environment, where new data processing and visualization tasks emerge very often. The tools address all the steps of a volume visualization pipeline: starting with import of external formats, over preprocessing, filtering, segmentation to interactive visualization.

Słowa kluczowe

EN

3D data processing; volume visualization

PL

przetwarzanie danych w 3D; wizualizacja objętości; format pliku 3D

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2004
• Tom: Vol. 7
• Strony: MIP69--78
• Opis fizyczny: Bibliogr. 8 poz., rys.

Twórcy

autor

Šrámek M.

• Commission for Scientific Visualization (VISKOM), Austrian Academy of Sciences, Vienna, Austria

autor

Dimitrov L. I.

• Commission for Scientific Visualization (VISKOM), Austrian Academy of Sciences, Vienna, Austria

autor

Straka M.

• Commission for Scientific Visualization (VISKOM), Austrian Academy of Sciences, Vienna, Austria

autor

Červeňanský M.

• Commission for Scientific Visualization (VISKOM), Austrian Academy of Sciences, Vienna, Austria

Bibliografia

• [1] M. Sramek and L. I. Dimitrov. f 3d - a file format and tools for storage and manipulation of volumetric data sets. In G. M. Cortelazzo and C. Guerra, editors, 1st International Symposium on 3D Data Processing, Visualization and Transmission, pages 368-371. IEEE Computer Society, Padova, Italy, June 2002.
• [2] J. A. Sethian. Level Set Methods and Fast Marching Methods. Cambridge University Press, 1999.
• [3] M. Sramek and A. Kaufman. Alias-free voxelization of geometric objects. IEEE Transactions on Visualization and Computer Graphics, 5(3):251-266, 1999.
• [4] M. Sramek and L. I. Dimitrov. Segmentation of tomographic data by hierarchical watershed transform. Journal of Medical Informatics and Technologies, 3:MI-161-MI-169, 2002.
• [5] M. Straka, A. La Cruz, A. Kochl, M. Sramek, E. Groller, and D. Fleischmann. 3D Watershed Transform Combined with a Probabilistic Atlas for Medical Image Segmentation. Journal of Medical Informatics & Technologies, 6:IT 69-IT 78, 2003.
• [6] B. Cabral, N. Cam, and J. Foran. Accelerated volume rendering and tomographic reconstruction using texture mapping hardware. In Proceedings 1994 Symposium on Volume Visualization, pages 91-98, Washington, D.C., 1994. ACM SIGGRAPH.
• [7] M. Straka, M. Cervenansky, A. La Cruz, A. Kochl, M. Sramek, E. Groller, and D. Fleischmann. The vesselglyph: Focus & context visualization in CT-angiography. In Proceedings of the Visualization '04 Conference, October 2004. accepted.
• [8] L.I. Dimitrov. Texturing 3D-reconstructions of the human brain with EEG-activity maps. Human Brain Mapping, 6(4):-, 1998.