Muview: A Visual Analysis System For Exploring Uncertainty In Myocardial Ischemia Simulations

In this paper we describe the Myocardial Uncertainty Viewer (muView) 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. View 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.

Paul Rosen, Brett Burton, Kristin Potter, and Chris R Johnson. Muview: A Visual Analysis System For Exploring Uncertainty In Myocardial Ischemia Simulations. Computer-Aided Design and Applications, 2016.

@incollection{rosen2016muview,
  title = {muView: A Visual Analysis System for Exploring Uncertainty in Myocardial
    Ischemia Simulations},
  author = {Rosen, Paul and Burton, Brett and Potter, Kristin and Johnson, Chris R},
  booktitle = {Visualization in Medicine and Life Sciences III},
  pages = {49--69},
  year = {2016},
  abstract = {In this paper we describe the Myocardial Uncertainty Viewer (muView) 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. View 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.}
}