Visualization For Understanding Uncertainty In The Simulation Of Myocardial Ischemia

We have created the Myocardial Uncertainty Viewer (muView or $mu$View) tool for exploring data stemming from the forward 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 multivalued and volumetric and thus, for every data point, we have a collection of samples describing cardiac electrical properties. $mu$View combines a suite of visual analysis methods to explore the area surrounding the ischemic zone and identify how perturbations of variables changes the propagation of their effects.

Paul Rosen, Brett Burton, Kristin Potter, and Chris R Johnson. Visualization For Understanding Uncertainty In The Simulation Of Myocardial Ischemia. The 3rd International Workshop on Visualization in Medicine and Life Sciences, 2013.

@inproceedings{rosen2013visualization,
  title = {Visualization for Understanding Uncertainty in the Simulation of Myocardial
    Ischemia},
  author = {Rosen, Paul and Burton, Brett and Potter, Kristin and Johnson, Chris R},
  booktitle = {The 3rd International Workshop on Visualization in Medicine and Life
    Sciences},
  year = {2013},
  abstract = {We have created the Myocardial Uncertainty Viewer (muView or $mu$View)
    tool for exploring data stemming from the forward 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
    multivalued and volumetric and thus, for every data point, we have a collection of
    samples describing cardiac electrical properties. $mu$View combines a suite of visual
    analysis methods to explore the area surrounding the ischemic zone and identify how
    perturbations of variables changes the propagation of their effects.}
}