# Integration of Uncertainty Quantification with SCIRun Bioelectric Field Simulation Pipeline

> **NIH NIH U24** · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · 2021 · $223,500

## Abstract

Project Summary
This project harnesses mature and modern techniques for uncertainty quantification (UQ) from
the computational science and mathematics communities and incorporates them into the
established biomedical simulation software framework SCIRun. Just as bioelectric simulation
models have become increasingly accurate at representing physical processes and geometry, so
also has it become increasingly important to understand the uncertainty stemming from ignorance
about precise values of model parameters. To our knowledge, success of this project represents
one of the first developments of folding in modern UQ techniques into widely used, freely available
software pipelines for simulation of bioelectric fields in heart and brain applications. Successful
incorporation of established and proven UQ tools into SCIRun will substantially increase the utility
of simulation based biomedical predictions in medical practice. Although there is a need in the
research community for such tools, the number and nature of users makes commercial
development very unlikely. There are no commercial tools specifically for bioelectric field modeling
and while some industry uses these tools, their high intellectual cost and limited market keep them
well below the threshold for commercial software.

## Key facts

- **NIH application ID:** 10406132
- **Project number:** 3U24EB029012-03S1
- **Recipient organization:** UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH
- **Principal Investigator:** Rob S. MacLeod
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $223,500
- **Award type:** 3
- **Project period:** 2021-09-17 → 2022-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10406132

## Citation

> US National Institutes of Health, RePORTER application 10406132, Integration of Uncertainty Quantification with SCIRun Bioelectric Field Simulation Pipeline (3U24EB029012-03S1). Retrieved via AI Analytics 2026-05-29 from https://api.ai-analytics.org/grant/nih/10406132. Licensed CC0.

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