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.
| Original language | English (US) |
|---|---|
| Title of host publication | Visualization in Medicine and Life Sciences III |
| Publisher | Springer Nature |
| Pages | 49-69 |
| Number of pages | 21 |
| ISBN (Print) | 9783319245218 |
| DOIs | |
| State | Published - May 22 2016 |
| Externally published | Yes |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledged KAUST grant number(s): KUS-C1-016-04
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).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.