Developing software tools for better MRI imaging with radiofrequency coils
Official title: Open-Source Software Tools for Rapid Radiofrequency Coil Modeling and Simulation in MRI
Funded at New York University School of Medicine · NIH-11164703 · Data updated 2026-11-12
This study is working on a new software that helps design better radiofrequency coils for MRI machines, which could make scans safer and improve the quality of images, ultimately helping doctors find health issues earlier for patients.
Quick facts
| Grant type | Career grant |
|---|---|
| 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 | August 8, 2024 |
| Project end | May 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $115,228 |
| NIH project number | 5K99EB035163-02 |
| Project ID | NIH-11164703 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include individuals requiring MRI scans, particularly those with conditions that are best diagnosed using ultra-high field MRI technology.
✕Less likely to help
Patients who do not require MRI imaging or those who are not suitable candidates for ultra-high field MRI may not benefit from this research.
What this research studies
This research aims to create an innovative open-source software that enhances the modeling and simulation of radiofrequency (RF) coils used in magnetic resonance imaging (MRI). By focusing on ultra-high field scanners, the project addresses safety concerns related to RF energy deposition and signal quality. The software will utilize advanced electromagnetic simulations to optimize RF coil designs, making the process faster and more efficient compared to existing commercial options. This could lead to improved diagnostic capabilities and earlier disease detection for patients undergoing MRI scans.
Why it matters
Potential benefit: If successful, this research could significantly enhance the quality and safety of MRI scans, leading to earlier and more accurate diagnoses for patients.
How similar studies have gone: Other research has shown success in developing software tools for MRI optimization, indicating that this approach has potential for impactful advancements in the field.
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
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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.