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dc.contributor.authorRosen, Paul*
dc.contributor.authorBurton, Brett*
dc.contributor.authorPotter, Kristin*
dc.contributor.authorJohnson, Chris R.*
dc.date.accessioned2017-05-15T10:35:09Z
dc.date.available2017-05-15T10:35:09Z
dc.date.issued2016-05-23en
dc.identifier.citationRosen P, Burton B, Potter K, Johnson CR (2016) muView: A Visual Analysis System for Exploring Uncertainty in Myocardial Ischemia Simulations. Mathematics and Visualization: 49–69. Available: http://dx.doi.org/10.1007/978-3-319-24523-2_3.en
dc.identifier.issn1612-3786en
dc.identifier.issn2197-666Xen
dc.identifier.doi10.1007/978-3-319-24523-2_3en
dc.identifier.urihttp://hdl.handle.net/10754/623568
dc.description.abstractIn 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.en
dc.description.sponsorshipThis 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).en
dc.publisherSpringer Natureen
dc.titlemuView: A Visual Analysis System for Exploring Uncertainty in Myocardial Ischemia Simulationsen
dc.typeBook Chapteren
dc.identifier.journalVisualization in Medicine and Life Sciences IIIen
dc.conference.date2013-06-16 to 2013-06-18en
dc.conference.name3rd International Workshop on Visualization in Medicine and Life Sciences, VMLS 2013en
dc.conference.locationLeipzig, DEUen
dc.contributor.institutionDepartment of Computer Science and Engineering, University of South Florida, Tampa, USA*
dc.contributor.institutionScientific Computing and Imaging Institute, University of Utah, Salt Lake City, USA*
dc.contributor.institutionUniversity of Oregon460 Mckenzie Hall, 5246 University of Oregon, Eugene, USA*
kaust.grant.numberKUS-C1-016-04en


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