Towards run time visualization in cardiac modeling

Matthias Reumann, C. Morris, D. U J Keller, G. Seemann, O. Dössel, G. D. Abram, J. J. Rice

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The output data generated in whole heart simulations are usually single or multiple parameters at each point in the simulation space. Visualizing data sets of gigabyte size puts great stress on the hardware and can be slow and tedious. Creating animated movies to analyze the excitation propagation can take hours on standard systems. We present two parallel visualization techniques to improve rendering of large datasets from cardiac simulations. The Scalable Parallel Visualization Networking (SPVN) toolkit provides the ability to assist in optimizing the utility and functionality of the aggregate resources in visualization clusters. Run time visualization offers the opportunity to visualize the results of cardiac simulations on the fly on High Performance Computers. Parallel visualization techniques enable fast manipulation of high resolution whole heart data sets and simulation results. The SPVN system has the potential to be linked with the simulation environment similar to the run time visualization described. Future efforts will focus on creating a simulation and visualization environment with appropriate characteristics for clinical setting. Specifically, speed, intuitive control and the ability to render diverse signals will likely be critical to drive adoption in the clinical setting.

Original languageEnglish (US)
Title of host publicationIFMBE Proceedings
Pages999-1002
Number of pages4
Volume25
Edition4
DOIs
StatePublished - 2009
Externally publishedYes
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: Sep 7 2009Sep 12 2009

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
CountryGermany
CityMunich
Period9/7/099/12/09

Fingerprint

Visualization
Speed control
Hardware

Keywords

  • Cardiac models
  • High performance computing
  • Parallel visualization
  • Run time visualization

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Reumann, M., Morris, C., Keller, D. U. J., Seemann, G., Dössel, O., Abram, G. D., & Rice, J. J. (2009). Towards run time visualization in cardiac modeling. In IFMBE Proceedings (4 ed., Vol. 25, pp. 999-1002) https://doi.org/10.1007/978-3-642-03882-2-266

Towards run time visualization in cardiac modeling. / Reumann, Matthias; Morris, C.; Keller, D. U J; Seemann, G.; Dössel, O.; Abram, G. D.; Rice, J. J.

IFMBE Proceedings. Vol. 25 4. ed. 2009. p. 999-1002.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reumann, M, Morris, C, Keller, DUJ, Seemann, G, Dössel, O, Abram, GD & Rice, JJ 2009, Towards run time visualization in cardiac modeling. in IFMBE Proceedings. 4 edn, vol. 25, pp. 999-1002, World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics, Munich, Germany, 9/7/09. https://doi.org/10.1007/978-3-642-03882-2-266
Reumann M, Morris C, Keller DUJ, Seemann G, Dössel O, Abram GD et al. Towards run time visualization in cardiac modeling. In IFMBE Proceedings. 4 ed. Vol. 25. 2009. p. 999-1002 https://doi.org/10.1007/978-3-642-03882-2-266
Reumann, Matthias ; Morris, C. ; Keller, D. U J ; Seemann, G. ; Dössel, O. ; Abram, G. D. ; Rice, J. J. / Towards run time visualization in cardiac modeling. IFMBE Proceedings. Vol. 25 4. ed. 2009. pp. 999-1002
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