Reliable AI for MRI Image Reconstruction in brachial plexus care
Official title: Reliable AI for Medical Image Reconstruction
Funded at University of Southern California · NIH-11456899 · Data updated 2026-11-12
A new AI toolkit is being developed to reconstruct MRI images faster and more accurately for people with brachial plexus disorders.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Southern California NIH-funded |
| Lab location | 1 site (Los Angeles, UNITED STATES) |
| Project start | September 25, 2023 |
| Project end | August 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $954,165 |
| NIH project number | 4DP2LM014564-02 |
| Project ID | NIH-11456899 on NIH RePORTER |
Who could benefit from this research
✓Could help
People with brachial plexus disorders who require MRI imaging for evaluation or treatment planning.
✕Less likely to help
Patients not undergoing MRI for brachial plexus issues or those not receiving MRI-based diagnostic imaging may see no direct benefit.
What this research studies
This project aims to create deep learning methods and training approaches that keep MRI reconstruction reliable even when data are limited or noisy. The toolkit will allow collaborative, private training across multiple hospitals to improve image quality while protecting patient privacy. It will tackle faster image acquisition, better quality with low-strength magnetic fields, and reduction of motion artifacts, with open datasets and reconstruction software for broader use. The work focuses on MRI for brachial plexus diseases, hoping to improve diagnosis and treatment planning for patients.
Why it matters
Potential benefit: If successful, patients could benefit from quicker MRI scans and clearer images that lead to faster and more accurate diagnoses.
How similar studies have gone: Prior AI-based MRI techniques have shown promise, but this project aims to advance reliability and privacy-preserving collaboration beyond current capabilities.
Where this research is happening
-
University of Southern California
Los Angeles, United States Active
Researchers
- Principal investigator: Soltanolkotabi, Mahdi — University of Southern California
- Study coordinator: Soltanolkotabi, Mahdi
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.