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

  • Paul Rosen
  • Brett Burton
  • Kristin Potter
  • Chris R. Johnson
Conference paper
Part of the Mathematics and Visualization book series (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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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Paul Rosen
    • 1
  • Brett Burton
    • 2
  • Kristin Potter
    • 3
  • Chris R. Johnson
    • 2
  1. 1.Department of Computer Science and EngineeringUniversity of South FloridaTampaUSA
  2. 2.Scientific Computing and Imaging InstituteUniversity of UtahSalt Lake CityUSA
  3. 3.University of Oregon460 Mckenzie Hall, 5246 University of OregonEugeneUSA

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