Developing software tools for better MRI imaging with radiofrequency coils
Open-Source Software Tools for Rapid Radiofrequency Coil Modeling and Simulation in MRI
['FUNDING_CAREER'] · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · NIH-11164703
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
| Phase | ['FUNDING_CAREER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | NEW YORK UNIVERSITY SCHOOL OF MEDICINE (nih funded) |
| Locations | 1 site (NEW YORK, UNITED STATES) |
| Trial ID | NIH-11164703 on ClinicalTrials.gov |
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.
Who could benefit from this research
Good fit: 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.
Not a fit: 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.
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 performed: 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, UNITED STATES
- 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
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 below.