# TR&D3: Open-Source Tools for Processing Hyperpolarized MR Data

> **NIH NIH P41** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2020 · $277,481

## Abstract

PROJECT SUMMARY/ABSTRACT 
The objective of this project is to develop novel, open-source, DICOM compliant, cross-platform software tools 
for reconstructing, quantifying and visualizing hyperpolarized MR data as driven by the HMTRC Collaborative 
Projects and to maintain, disseminate, and refine the SIVIC package to meet the broad needs of this rapidly 
expanding field. The unique challenges associated with the acquisition and interpretation of such data has 
meant that new strategies are required for reconstruction, quantitative analysis and integration with other 
imaging modalities. There are currently no commercial packages available to meet these needs. The 
dissemination of new methodologies and applications being investigated by TR&D1 and TR&D2 is critically 
dependent upon having a rapid feedback between theoretical concept, experiment and interpretation of results. 
The progress that TR&D3 has made in the last three years in satisfying these requirements has been a major 
factor in meeting the needs of the Research, Collaborative and Service Projects. The SIVIC package and new, 
custom designed capabilities have been disseminated through one-on-one interactions, in highly successful, 
hands-on sessions at the HMTRC workshops and using the comprehensive on-line portal. In translating the 
hyperpolarized C-13 technology from in vitro to pre-clinical and human studies, we have identified several 
areas where new approaches would have a major impact for our users. In the next funding cycle we propose to 
accelerate the pace of discovery and translation in three main areas: 
Aim 1: To expand and enhance the capabilities of the SIVIC software package to support development, 
analysis and validation of the new data acquisition strategies being developed in TR&D1 and TR&D2. 
Aim 2: To develop new algorithms and pipelines for analyzing hyperpolarized MR data for applications that are 
being driven by investigators in the Collaborative and Service Projects. 
Aim 3: To disseminate, support and provide ongoing refinements for software tools, analysis methods and 
novel algorithms being developed in SIVIC for interpretation of hyperpolarized MR data for the Research, 
Collaborative and Service Projects, as well as the broader research community.

## Key facts

- **NIH application ID:** 9932993
- **Project number:** 5P41EB013598-10
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** SARAH J. NELSON
- **Activity code:** P41 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $277,481
- **Award type:** 5
- **Project period:** — → 2022-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9932993

## Citation

> US National Institutes of Health, RePORTER application 9932993, TR&D3: Open-Source Tools for Processing Hyperpolarized MR Data (5P41EB013598-10). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9932993. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*