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

  title={muView: A Visual Analysis System for Exploring Uncertainty in Myocardial Ischemia Simulations},
  author={Paul Rosen and Brett M. Burton and Kristin C. Potter and Chris R. Johnson},
  booktitle={Visualization in Medicine and Life Sciences III},
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… 

A Review of Three-Dimensional Medical Image Visualization

The state-of-the-art of medical visualization is reviewed based on a procedure-oriented classification of medical problems for studies of individuals and populations, and fundamental visualization techniques are revisited for various medical imaging modalities.

Source localization probability maps for uncertainty quantification in electrocardiographic imaging

The concept of a source localization probability map may be useful clinically in identifying origins of arrhythmia in cardiac tissue using Monte Carlo error propagation to study source localization uncertainty in electrocardiographic imaging.

Trends & Opportunities in Visualization for Physiology: A Multiscale Overview

The findings of this report may be used by visualization researchers to understand the overarching trends, challenges, and opportunities in visualization for physiology and to provide a foundation for discussion and future research directions in this area.

Data-Driven Space-Filling Curves

A data-driven space-filling curve method for 2D and 3D visualization that traverses the data elements in the spatial domain in a way that the resulting linearization better preserves features in space compared to existing methods.

Uncertainty Visualization: Concepts, Methods, and Applications in Biological Data Visualization

  • D. Weiskopf
  • Computer Science
    Frontiers in Bioinformatics
  • 2022
Components are discussed that are relevant for handling and visualizing uncertainty introduced with the original data and at later stages in the pipeline, which shows the importance of making the stages of the pipeline aware of uncertainty and allowing them to propagate uncertainty.

Recent Developments



Uncertainty visualization in HARDI based on ensembles of ODFs

A new and accurate technique for uncertainty analysis and uncertainty visualization based on fiber orientation distribution function (ODF) glyphs, associated with high angular resolution diffusion imaging (HARDI), which elucidates the complex heteroscedastic structural variation in diffusion shapes.

Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation

The methods have been evaluated by radiologists in a study simulating the clinical task of stenosis assessment, in which the animation technique is shown to outperform traditional rendering in terms of assessment accuracy.

The effect of conductivity values on ST segment shift in subendocardial ischaemia

The aim of this study was to investigate the effect of different conductivity values on epicardial surface potential distributions on a slab of cardiac tissue. The study was motivated by the large

Linked exploratory visualizations for uncertain MR spectroscopy data

A system for visualizing magnetic resonance spectroscopy (MRS) data sets consists of a spatial glyph-based technique, a parallel coordinates visualization augmented to incorporate uncertainty in the data, and a slice plane for accurate data value extraction.

Simulating the electrical behavior of cardiac tissue using the bidomain model.

  • C. Henriquez
  • Engineering
    Critical reviews in biomedical engineering
  • 1993
This article presents a mathematical description of the bidomain model and reviews the use of the model for simulating the electrical behavior of cardiac tissue.

Effect of Tissue Anisotropy on Extracellular Potential Fields in Canine Myocardium in Situ

It is concluded that the anisotropy of the electrical conductivity of cardiac muscle has important effects on the propagation of waves of Depolarization and on the potential fields produced by depolarization in the intact heart.

Approaches to uncertainty visualization

These uncertainty visualization techniques present data in such a manner that users are made aware of the locations and degree of uncertainties in their data so as to make more informed analyses and decisions.

Visualizing scalar volumetric data with uncertainty

Ensemble-Vis: A Framework for the Statistical Visualization of Ensemble Data

This article argues that combining multiple linked displays yields a clearer presentation of the data and facilitates a greater level of visual data analysis, and demonstrates the framework using driving problems from climate modeling and meteorology and discusses generalizations to other fields.

Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI

A method is proposed for determining confidence intervals in fiber orientation from real DT‐MRI data using the bootstrap method, used to construct maps of the “cone of uncertainty,” allowing simultaneous viewing of fiber orientation and its uncertainty, and to examine the relationship between orientation uncertainty and tissue anisotropy.