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Uncertainty Visualization in Forward and Inverse Cardiac Models.

Brett M Burton¹, Burak Erem², Kristin Potter³

¹Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, USA.

Computing in Cardiology

|November 11, 2014

Summary

Novel visualization techniques address challenges in cardiac modeling uncertainty. Interactive methods like linked views and animation improve the assessment of cardiac potentials and activation times, highlighting areas of high uncertainty.

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Area of Science:

Biomedical Engineering
Computational Cardiology
Medical Imaging

Background:

Quantifying and visualizing uncertainty in cardiac modeling is challenging.
Occlusion and clutter in visualizations obscure critical regions of interest.
Existing methods struggle to effectively display uncertainty in complex cardiac geometries.

Purpose of the Study:

To develop and implement novel approaches for uncertainty visualization in cardiac modeling.
To overcome limitations of occlusion and clutter in visual assessment.
To evaluate the utility of new techniques in forward and inverse cardiac problems.

Main Methods:

Developed novel visualization techniques including linked-view windows and interactive animation.
Applied dimensionality reduction to large datasets.
Superimposed mean and standard deviation measures over time for analysis.

Main Results:

Successfully visualized uncertainty in cardiac potentials during repolarization with variable tissue conductivities (forward case).
Effectively evaluated uncertainty in reconstructed epicardial activation times with Tikhonov regularization parameter variation (inverse case).
Highlighted regions of interest with significant uncertainty in complex cardiac models.

Conclusions:

Novel visualization techniques enhance the assessment of uncertainty in cardiac modeling.
Interactive methods improve the identification of critical areas in cardiac forward and inverse problems.
The developed approaches are effective for displaying key features in large cardiac datasets.