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muView: A Visual Analysis System for Exploring Uncertainty in Myocardial Ischemia Simulations

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Visualization in Medicine and Life Sciences III

Part of the book series: Mathematics and Visualization ((MATHVISUAL))

Abstract

In this paper we describe the Myocardial Uncertainty Viewer (muView or μView) system for exploring data stemming from the simulation of cardiac ischemia. The simulation uses a collection of conductivity values to understand how ischemic regions effect the undamaged anisotropic heart tissue. The data resulting from the simulation is multi-valued and volumetric, and thus, for every data point, we have a collection of samples describing cardiac electrical properties. μView combines a suite of visual analysis methods to explore the area surrounding the ischemic zone and identify how perturbations of variables change the propagation of their effects. In addition to presenting a collection of visualization techniques, which individually highlight different aspects of the data, the coordinated view system forms a cohesive environment for exploring the simulations. We also discuss the findings of our study, which are helping to steer further development of the simulation and strengthening our collaboration with the biomedical engineers attempting to understand the phenomenon.

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Acknowledgements

This project was supported by grants from the National Center for Research Resources (5P41RR012553-14), National Institutes of Health’s National Institute of General Medical Sciences (8 P41 GM103545-14), DOE NETL, and King Abdullah University of Science and Technology (KUS-C1-016-04).

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Authors and Affiliations

  1. Department of Computer Science and Engineering, University of South Florida, 4202 E. Fowler Avenue, ENB 118, Tampa, FL, 33620, USA

    Paul Rosen

  2. Scientific Computing and Imaging Institute, University of Utah, 72 S. Central Campus Dr., Salt Lake City, UT, 84112, USA

    Brett Burton & Chris R. Johnson

  3. University of Oregon, 460 Mckenzie Hall, 5246 University of Oregon, Eugene, OR, 97403, USA

    Kristin Potter

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  1. Paul Rosen
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  2. Brett Burton
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  4. Chris R. Johnson
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Corresponding author

Correspondence to Paul Rosen .

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Editors and Affiliations

  1. Department of Computer Science and Elect, Jacobs University, Bremen, Germany

    Lars Linsen

  2. Department of Computer Science, University of California, Davis, California, USA

    Bernd Hamann

  3. Visualization and Data Analysis, Zuse Institute Berlin (ZIB), Berlin, Germany

    Hans-Christian Hege

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Rosen, P., Burton, B., Potter, K., Johnson, C.R. (2016). muView: A Visual Analysis System for Exploring Uncertainty in Myocardial Ischemia Simulations. In: Linsen, L., Hamann, B., Hege, HC. (eds) Visualization in Medicine and Life Sciences III. Mathematics and Visualization. Springer, Cham. https://doi.org/10.1007/978-3-319-24523-2_3

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