ISpace: Interactive volume data classification techniques using independent component analysis

Proceedings - Pacific Conference on Computer Graphics and Applications

Volumn 2002-January, Issue , 2002, Pages 366-374

  Takanashi, Ikuko ^a   Lum, Eric B ^b   Ma, Kwan Liu ^b   Muraki, Shigeru ^c  

^a MITSUBISHI ELECTRIC CORPORATION   (Japan)

^b University of California   (United States)

^c NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

Author keywords

Biological materials; Biomedical imaging; Data visualization; Histograms; Image segmentation; Independent component analysis; Information technology; Rendering (computer graphics); Space technology; Transfer functions

Indexed keywords

BIOLOGICAL MATERIALS; COMPUTER GRAPHICS; DATA VISUALIZATION; GRAPHIC METHODS; IMAGE SEGMENTATION; INDEPENDENT COMPONENT ANALYSIS; INFORMATION TECHNOLOGY; MEDICAL IMAGING; RENDERING (COMPUTER GRAPHICS); TRANSFER FUNCTIONS;

BIOMEDICAL IMAGING; HISTOGRAMS; INDEPENDENT COMPONENT ANALYSIS(ICA); INTERACTIVE CLASSIFICATION; MULTI-DIMENSIONAL HISTOGRAMS; OPACITY TRANSFER FUNCTIONS; SPACE TECHNOLOGIES; VOLUME DATA;

CLASSIFICATION (OF INFORMATION);

EID: 84948747654     PISSN: 15504085     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PCCGA.2002.1167880     Document Type: Conference Paper

References (22)

1. C. L. Bajaj, V. Pascucci, and D. R. Schikore. The contour spectrum. In Proceedings of IEEE Visualization 1997, pages 167-173. IEEE, 1997.
2. A. J. Bell and T. Sejnowski. An information-maximization approach to blind separation and blind deconvolution. Neural Computation, 7:1129-1150, 1995.
3. L. D. Bergman, B. E. Rogowitz, and L. A. Treinish. A rulebased tool for assiting colormap selection. In Proceedings of IEEE Visualization 1995, pages 118-125. IEEE, 1996.
4. The FastICA MatLab Package. http://www. cis. hut. fi/ projects/ica/fastica/. Laboratory of Computer and Information Science, Helsinki University of Technology.
5. I. Fujishiro, T. zuma, and Y. Takeshima. Automating transfer function design for comprehensible volume rendering based on 3d field topology analysis. In Proceedings of IEEE Visualization 1999, pages 467-470. IEEE, 1999.
6. A. V. Gelder and K. Kim. Direct volume rendering with shading via three-dimension textures. In Proceedings of 1996 Symposium on Volume Visualizatrion, pages 23-30, October 1996.
7. K. H. Höhne andW. Hanson. Interactive 3d-segmentation of mri and ct volume using morphological operations. Journal of Computer Assisted Tomography, 16(2):285-294, 1992.
8. A. Hyvärinen. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. on Neural Networks, 10(3):626-634, 1999.
9. T. J. Jankun-Kelly and K.-L. Ma. Transfer function generation for time-varying volume data. In Proceedings of the International Workshop on Volume Graphics 2001, pages 33-43, 2001.
10. J. Karhunen, E. Oja, L. Wang, R. Vigario, and J. Joutsensalo. A class of neural networks for independent component analysis. IEEE Trans. on Neural Networks, 8(3):486-504, 1997.
11. G. Kindlmann and J. Durkin. Semi-automatic generation of transfer functions for direct volume rendering. In Proceedings of the IEEE Symposium on Volume Visualization, pages 79-86. IEEE, ACM SIGGRAPH, 1998.
12. J. Kniss, G. Kindlmann, and C. Hansen. Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets. In Proceedings of IEEE Visualization 2001, pages 255-262. IEEE, 2001.
13. J. Kniss, G. Kindlmann, and C. Hansen. Multi-dimensional transfer functions for interactive volume rendering. to appear in Transactions on Visualization and Computer Graphics, 2002.
14. T.-W. Lee. Independent Component Analysis. Kluwer Academic Publishers, Boston, October 1998.
15. J. Marks, B. Andalman, P. A. Beardsley, W. Freeman, S. Gibson, J. Hodgins, T. Kang, B. Mirtich, H. Pfister, W. Ruml, K. Ryall, J. Seims, and S. Shieber. Design galleries: A general approach to setting parameters for computer graphics and animation. In Proceedings of SIGGRAPH97, pages 389-400. ACM SIGGRAPH, August 1997.
16. S. Muraki, T. Nakai, Y. Kita, and K. Tsuda. An attempt for coloring multichannel mr imaging data. IEEE Trans. Visualization and Computer Graphics, 7(3):265-274, July-September 2001.
17. T. Schiemann, U. Tiede, and K. Höhne. Segmentation of the visible human for high quality volume based visualization. Medical Image Analysis, 1(4):263-271, 1997.
18. L. H. T. He, A. Kaufman, and H. Pfister. Generation of transfer functions with stochastic search techniques. In Proceedings of IEEE Visualization 1996, pages 227-234. IEEE, 1996.
19. I. Takanashi, E. B. Lum, K.-L. Ma, J. Meyer, B. Hamann, and A. J. Olson. Segmentation and 3d visualization of high resolution human brain. In Visualization and Data Analysis 2002, Electronic Imaging 2002, IS&T/SPIE, volume 4665-6, January 2002.
20. J. J. Vaquero, M. Desco, J. Pascau, A. Santos, I. Lee, J. Seidel, and M. V. Green1. Pet, ct and mr image registration of the rat brain and skull. IEEE Transactions on Nuclear Science, 48(4):1440-1445, August 2001.
21. B. Wilson, E. Lum, and K.-L. Ma. Interactive multi-volume visualization. In ICCS 2002 Workshop on Computer Graphics and Geometric Modeling, April 2002.
22. H. Yang and S. Amari. Adaptive online learning algorithms for blind separation-maximum entropy and minimum mutual information. Neural Computation, 9:1457-1482, 1997.