Open-source RF coil modeling tools to improve MRI at ultra-high field
Official title: Open-Source Software Tools for Rapid Radiofrequency Coil Modeling and Simulation in MRI
Funded at New York University School of Medicine · NIH-11534688 · Data updated 2026-11-12
Aims to create a fast, memory-friendly open-source software to model MRI RF coils, helping doctors get clearer scans and safer images for patients, especially with ultra-high-field MRI.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University School of Medicine NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | September 1, 2023 |
| Project end | June 30, 2029 |
| Funding year | 2026 |
| Award (this year) | $248,999 |
| NIH project number | 4R00EB035163-03 |
| Project ID | NIH-11534688 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients undergoing MRI, especially when using ultra-high-field scanners, could benefit from improved imaging safety and quality.
✕Less likely to help
Patients not using MRI or not undergoing scans with RF coil analysis tools may not directly benefit.
What this research studies
This project develops a new, open-source software tool that simulates how RF coils interact with body tissues during MRI. It uses advanced mathematical methods to run simulations quickly and with less memory, reducing delays in coil design. By predicting hotspots and signal loss before building hardware, it could lead to safer, higher-quality imaging for patients with cancers and related conditions. The work focuses on domain decomposition and tensor techniques to handle complex coil-tissue interactions efficiently.
Why it matters
Potential benefit: If successful, the tool could speed up and improve MRI coil design, potentially leading to safer scans with better image quality for cancer patients.
How similar studies have gone: Prior simulations exist but this project aims to offer a faster, open-source solution with lower memory demands.
Where this research is happening
-
New York University School of Medicine
New York, United States Active
Researchers
- Principal investigator: Giannakopoulos, Ilias — New York University School of Medicine
- Study coordinator: Giannakopoulos, Ilias
Related research
Other NIH-funded projects on the same topics.
-
Actions to Decrease Disparities in Blood Pressure Control for Blacks
Aiming to help Black patients manage high blood pressure by using nurses, community health workers, and home monitoring in real-world clinics.
-
Blood-based markers to identify lung cancer risk in never-smokers
A researchers team at NYU School of Medicine is testing blood tests that might flag higher lung cancer risk in people who have never smoked, helping decide who might need screening.
-
Oxytocin's effect on social brain function in autistic adults
A group at NYU School of Medicine studies how oxytocin affects social thinking and brain activity in adults with autism.
-
COVID-19 healthcare disruptions and heart health inequities in NYC adults with multiple conditions
This project looks at how COVID-19-related gaps in care affected heart health in adults with several chronic conditions in New York City.
-
Connecting TDP-43 Pathology to Molecular Profiles in Neurodegeneration
This grant explores how specific molecular patterns in brain tissue relate to ALS and Alzheimer’s disease features, aiming to improve understanding of disease subtypes and progression.
-
INOCA-mobile heart rehab for angina and breathlessness
A mobile health-based cardiac rehabilitation program is being tested to help people with INOCA feel better and move more.
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.