Abstract
Many of the operations to eliminate complaints concerning respiration impairments fail. In order to improve the success rate, it is important to recognize the responsiveness of the flow field within the nasal cavities. Therefore, we are developing a computer assisted surgery (CAS) system that combines computational fluid dynamics (CFD) and virtual reality (VR) technology. However, the primary prerequisite for VR-based applications is real-time interaction. A single graphics workstation is not capable of satisfying this condition and of simultaneously calculating flow features employing the huge CFD data set. In this paper, we will present our approach of a distributed system that relieves the load on the graphics workstation and makes use of an “off-the-shelf” parallel Linux cluster calculating streamlines. Moreover, we introduce first results and discuss remaining difficulties.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
T. van Reimersdahl, I. Hörschler, A. Gerndt, T. Kuhlen, M. Meinke, G. Schlöndorff, W. Schröder, and C. Bischof. Airflow simulation inside a model of the human nasal cavity in a virtual reality based rhinological operation planning system. Proceedings of Computer Assisted Radiology and Surgery (CARS2001), 15th International Congress and Exhibition, Berlin, Germany, 2001.
I. Hörschler, M. Meinke, and W. Schröder. Numerical simulation of the flow field in a model of the nasal cavity. Computers and Fluids, Special AMIF 2000 issue, accepted for publication, 2002.
R. Opitz and W. Limberg. Experimentelle Untersuchungen der Strömung in einem Nasenmodell. Abhandlungen aus dem Aerodynamischen Institut der RWTH Aachen, Heft 32, pp. 120-129, 1996.
K. I. Park, C. Brücker, and W. Limberg. Experimental study of velocity fields in a model of the human nasal cavity by DPIV. In B. Ruck, et al., Proceedings, 7th International Conference of Laser Anemometry, Advances and Applications, Karlsruhe, pp. 617-626, 1997.
W. E. Lorensen and H. E. Cline. Marching cubes: High resolution 3D surface construction algorithm. Computer Graphics, 21(3): 130-141, 1983.
GridPro, The CFD link to design. The Graphic Manager Manual. Program Development Corp., 300 Hamilton Ave. Suite 409, White Plains, N.Y. 10601, USA.
T. J. Poinsot and S. K. Lele. Boundary conditions for direct simulations of compressible viscous flows. J. Comp. Phys., 101:104-129, 1992.
T. van Reimersdahl, T. Kuhlen, A. Gerndt, J. Henrichs, and C. Bischof. ViSTA: A multimodal, platform-independent VR-Toolkit based on WTK, VTK, and MPI. Fourth International Immersive Projection Technology Workshop (IPT 2000), Ames, Iowa, 2000.
W. Schroeder, K. Martin, and B. Lorensen. The Visualization Toolkit, Prentice Hall, New Jersey, 1998.
W. Gropp, E. Lusk, and A. Skjellum. Using MPI-Portable Parallel Programming with the Massage-Passing Interface, Cambridge, MIT Press, Massachusetts, 1995.
http://www-unix.mcs.anl.gov/mpi/mpich (5 Sept., 2001).
J. Henrichs. Optimizing and load balancing metacomputing applications. In Proceedings of the International Conference on Supercomputing (ICS-98), pp. 165-171, 1998.
http://www.rz.rwth-aachen.de/hpc/hpcLine (March 2, 2001).
Scali MPI-ScaMPI. March 19, 2001. ScaMPI-DS-A4.fm, http://www.cali.com/download/doc/ScaMPI-DS-A4.pdf (Sept., 3 2001).
A. Gerndt, T. van Reimersdahl, T. Kuhlen, J. Henrichs, and C. Bischof. A parallel approach for VR-based visualization of CFD data with PC clusters. 16th IMACS World Congress, Lausanne, Switzerland, 2000.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Gerndt, A., Reimersdahl, T.V., Kuhlen, T. et al. Large-Scale CFD Data Handling in a VR-Based Otorhinolaryngological CAS-System using a Linux-Cluster. The Journal of Supercomputing 25, 143–154 (2003). https://doi.org/10.1023/A:1023992511823
Issue Date:
DOI: https://doi.org/10.1023/A:1023992511823