Table of Contents
ISRN Biomedical Engineering
Volume 2013 (2013), Article ID 892967, 9 pages
http://dx.doi.org/10.1155/2013/892967
Research Article

High-Fidelity Visualization of Large Medical Datasets on Commodity Hardware

National Research Council of Italy, Institute for High Performance Computing and Networking (ICAR-CNR), Via Pietro Castellino 111, 80131 Naples, Italy

Received 19 March 2013; Accepted 9 June 2013

Academic Editors: M. Deng and D. Giansanti

Copyright © 2013 Luigi Gallo and Alessio Pierluigi Placitelli. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. K. Mueller and A. E. Kaufman, “Volume visualization in medicine,” in Handbook of Medical Image Processing and Analysis, I. N. Bankman, Ed., chapter 46, pp. 785–816, Academic Press, San Diego, CA, USA, 2nd edition, 2008. View at Google Scholar
  2. M. Smelyanskiy, D. Holmes, J. Chhugani et al., “Mapping high-fidelity volume rendering for medical imaging to CPU, GPU and many-core architectures,” IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1563–1570, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. L. Gallo, “A glove-based interface for 3D medical image visualization,” in Intelligent Interactive Multimedia Systems and Services: Proceedings of the 4th International Conference on Intelligent Interactive Multimedia Systems (Smart Innovation, Systems and Technologies), vol. 6, pp. 221–230, Springer, Berlin, Germany, 2010. View at Google Scholar
  4. S. X. Qin, X. B. Geng, and Y. S. Jiang, “Automatic dynamic task distribution between CPU and GPU for VR systems,” Applied Mechanics and Materials, vol. 157-158, pp. 1324–1330, 2012. View at Publisher · View at Google Scholar · View at Scopus
  5. T.-H. Lee, J. Lee, H. Lee, H. Kye, Y. G. Shin, and S. H. Kim, “Fast perspective volume ray casting method using GPU-based acceleration techniques for translucency rendering in 3D endoluminal CT colonography,” Computers in Biology and Medicine, vol. 39, no. 8, pp. 657–666, 2009. View at Publisher · View at Google Scholar · View at Scopus
  6. K. Xie, G. Sun, J. Yang, and Y. M. Zhu, “Interactive volume cutting of medical data,” Computers in Biology and Medicine, vol. 37, no. 8, pp. 1155–1159, 2007. View at Publisher · View at Google Scholar · View at Scopus
  7. D. Levin, U. Aladl, G. Germano, and P. Slomka, “Techniques for efficient, real-time, 3D visualization of multi-modality cardiac data using consumer graphics hardware,” Computerized Medical Imaging and Graphics, vol. 29, no. 6, pp. 463–475, 2005. View at Publisher · View at Google Scholar · View at Scopus
  8. M. Howison, E. W. Bethel, and H. Childs, “Hybrid parallelism for volume rendering on large-, multi-, and many-core systems,” IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 1, pp. 17–29, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. Q. Zhang, R. Eagleson, and T. M. Peters, “Dynamic real-time 4D cardiac MDCT image display using GPU-accelerated volume rendering,” Computerized Medical Imaging and Graphics, vol. 33, no. 6, pp. 461–476, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. iHealth lab, “Hybrid CPU-GPU volume ray-casting,” 2013, http://ihealthlab.icar.cnr.it.
  11. S. Piccand, R. Noumeir, and E. Paquette, “Region of interest and multiresolution for volume rendering,” IEEE Transactions on Information Technology in Biomedicine, vol. 12, no. 5, pp. 561–568, 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. J. E. van der Heyden, K. M. Inkpen, M. S. Atkins, and M. S. T. Carpendale, “Exploring presentation methods for tomographic medical image viewing,” Artificial Intelligence in Medicine, vol. 22, no. 2, pp. 89–109, 2001. View at Publisher · View at Google Scholar · View at Scopus
  13. R. Westermann, “A multiresolution framework for volume rendering,” in Proceedings of the symposium on Volume visualization (VVS '94), pp. 51–58, ACM, New York, NY, USA, 1994.
  14. E. C. la Mar, B. Hamann, and K. I. Joy, “Multiresolution techniques for interactive texture-based volume visualization,” in Proceedings of the 10th IEEE Visualization Conference (VIS '99), pp. 355–361, IEEE Computer Society, Los Alamitos, CA, USA, October 1999. View at Scopus
  15. S. Guthe, M. Wand, J. Gonser, and W. Strasser, “Interactive rendering of large volume data sets,” in Proceedings of the 13th IEEE Visualization Conference (VIS '02), pp. 53–60, IEEE Computer Society, Los Alamitos, CA, USA, November 2002. View at Scopus
  16. C. Wang, A. Garcia, and H.-W. Shen, “Interactive level-of-detail selection using image-based quality metric for large volume visualization,” IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 1, pp. 122–134, 2007. View at Publisher · View at Google Scholar · View at Scopus
  17. M. Kraus, M. Strengert, T. Klein, and T. Ertl, “Adaptive sampling in three dimensions for volume rendering on GPUs,” in Proceedings of the 6th Asia-Pacific Symposium on Visualisation (APVIS '07), pp. 113–120, Los Alamitos, CA, USA, February 2007. View at Publisher · View at Google Scholar · View at Scopus
  18. S. Guthe and W. Strasser, “Advanced techniques for high-quality multi-resolution volume rendering,” Computers and Graphics, vol. 28, no. 1, pp. 51–58, 2004. View at Publisher · View at Google Scholar · View at Scopus
  19. K. Xie, J. Yang, and Y. M. Zhu, “Real-time rendering of 3D medical data sets,” Future Generation Computer Systems, vol. 21, no. 4, pp. 573–581, 2005. View at Publisher · View at Google Scholar · View at Scopus
  20. A. Corcoran, N. Redmond, and J. Dingliana, “Perceptual enhancement of two-level volume rendering,” Computers and Graphics, vol. 34, no. 4, pp. 388–397, 2010. View at Publisher · View at Google Scholar · View at Scopus
  21. J. Zhou, M. Hinz, and K. Tonnies, “Focal region-guided feature-based volume rendering,” in Proceedings of the First International Symposium on 3D Data Processing Visualization and Transmission (3DPTV '02), pp. 87–90, IEEE Computer Society, Los Alamitos, CA, USA, 2002.
  22. J. Zhou, C. Xiao, Z. Wang, and M. Takatsuka, “A concept of volume rendering guided search process to analyze medical data set,” Computerized Medical Imaging and Graphics, vol. 32, no. 2, pp. 140–149, 2008. View at Publisher · View at Google Scholar · View at Scopus
  23. Y.-S. Wang, C. Wang, T.-Y. Lee, and K.-L. Ma, “Feature-preserving volume data reduction and focus+context visualization,” IEEE Transactions on Visualization and Computer Graphics, vol. 17, no. 2, pp. 171–181, 2011. View at Publisher · View at Google Scholar · View at Scopus
  24. M. Levoy, “Display of surfaces from volume data,” IEEE Computer Graphics and Applications, vol. 8, no. 3, pp. 29–37, 1987. View at Google Scholar · View at Scopus
  25. R. A. Drebin, L. Carpenter, and P. Hanrahan, “Volume rendering,” Computer Graphics, vol. 22, no. 4, pp. 65–74, 1988. View at Google Scholar · View at Scopus
  26. M. Levoy and R. Whitaker, “Gaze-directed volume rendering,” ACM SIGGRAPH Computer Graphics, vol. 24, no. 2, pp. 217–223, 1990. View at Google Scholar
  27. A. Lu, R. Maciejewski, and D. S. Ebert, “Volume composition and evaluation using eye-tracking data,” ACM Transactions on Applied Perception, vol. 7, no. 1, pp. 1–20, 2010. View at Publisher · View at Google Scholar · View at Scopus
  28. L. Gallo, M. Ciampi, and A. Minutolo, “Smoothed pointing: a user-friendly technique for precision enhanced remote pointing,” in Proceedings of the 4th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS '10), pp. 712–717, February 2010. View at Publisher · View at Google Scholar · View at Scopus
  29. L. Gallo and A. Minutolo, “Design and comparative evaluation of smoothed pointing: a velocity-oriented remote pointing enhancement technique,” International Journal of Human Computer Studies, vol. 70, no. 4, pp. 287–300, 2012. View at Publisher · View at Google Scholar · View at Scopus
  30. E. Monclús, J. Díaz, I. Navazo, and P.-P. Vázquez, “The virtual magic lantern: an interaction metaphor for enhanced medical data inspection,” in Proceedings of the 16th ACM Symposium on Virtual Reality Software and Technology (VRST '09), pp. 119–122, ACM, November 2009. View at Publisher · View at Google Scholar · View at Scopus
  31. W. Schroeder, K. Martin, and B. Lorensen, Visualization Toolkit: An Object-Oriented Approach To 3D Graphics, Kitware, Clifton Park, NY, USA, 4th edition, 2006.
  32. wxWidgets, “Cross-platform GUI library,” 2010, http://www.wxwidgets.org.
  33. L. Gallo, G. de Pietro, A. Coronato, and I. Marra, “Toward a natural interface to virtual medical imaging environments,” in Proceedings of the Working Conference on Advanced Visual Interfaces (AVI '08), pp. 429–432, May 2008. View at Publisher · View at Google Scholar · View at Scopus
  34. M. J. Ackerman, “Accessing the visible human project,” Tech. Rep., Corporation for National Research Initiatives, 1995. View at Google Scholar