Improving MRI technology for better brain imaging
Official title: Optimized High-Resolution Fast Magnetic Resonance Fingerprinting with Cloud-Based Reconstruction
Funded at Univ of North Carolina Chapel Hill · NIH-10980955 · Data updated 2026-11-12
This study is working on a new way to take clearer and more detailed pictures of the brain using MRI, which could help doctors make better diagnoses and create personalized treatment plans for patients.
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 start | September 12, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $621,617 |
| NIH project number | 1R01NS134849-01A1 |
| Project ID | NIH-10980955 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals undergoing evaluation for brain-related conditions, such as neurological disorders or tumors.
✕Less likely to help
Patients with conditions that do not require advanced MRI imaging techniques may not benefit from this research.
What this research studies
This research focuses on enhancing magnetic resonance imaging (MRI) techniques to provide more accurate and detailed images of brain tissue. By utilizing a new method called Magnetic Resonance Fingerprinting (MRF), the team aims to quantify multiple tissue properties simultaneously, which is crucial for diagnosing and monitoring treatment. The project will optimize this technique to achieve high-resolution imaging while reducing the time needed for data acquisition and reconstruction. Patients may benefit from more precise diagnoses and tailored treatment plans based on improved imaging results.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and better treatment monitoring for patients with brain disorders.
How similar studies have gone: Previous research has shown promise in improving MRI techniques, but this specific approach using cloud-based reconstruction and MRF is relatively novel.
Where this research is happening
-
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
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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.