Improving detailed brain MRI scans with faster, clearer results
Optimized High-Resolution Fast Magnetic Resonance Fingerprinting with Cloud-Based Reconstruction
This project is making a new type of MRI scan called MR Fingerprinting much faster and clearer to help doctors better understand brain conditions.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of North Carolina Chapel Hill NIH-funded |
| Lab location | 1 site (Chapel Hill, United States) |
| Project ID | NIH-11192284 on NIH RePORTER |
What this research studies
We are working to enhance a special kind of MRI called MR Fingerprinting, which can measure important details about your body's tissues. Current MRF methods can be slow and sometimes lack the sharp detail needed for a full picture. Our goal is to make these scans much quicker and provide very high-resolution, 3D images of the brain. This will involve using advanced computer methods and optimizing the way the MRI machine takes pictures, with data reconstruction handled in the cloud.
Who could benefit from this research
Good fit: Patients who need detailed brain imaging for diagnosis or to monitor treatment for neurological conditions might eventually benefit from this advanced MRI technology.
Not a fit: Patients who do not require advanced brain imaging or have conditions unrelated to brain tissue properties would not directly benefit from this specific imaging improvement.
Why it matters
Potential benefit: If successful, this improved MRI technique could lead to more precise and objective diagnoses and better tracking of treatment effectiveness for various brain conditions.
How similar studies have performed: MR Fingerprinting is a relatively new technique that has shown promise over conventional MRI, and this project aims to build upon and significantly optimize existing MRF methods.
Where this research is happening
Chapel Hill, United States
- Univ of North Carolina Chapel Hill — Chapel Hill, United States (Active)
Researchers
- Principal investigator: Yap, Pew-Thian — Univ of North Carolina Chapel Hill
- Study coordinator: Yap, Pew-Thian
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.