Advanced MRI techniques for better detection of Alzheimer's disease
Model Based Deep Learning Framework for Ultra-High Resolution Multi-Contrast MRI
['FUNDING_R01'] · UNIVERSITY OF VIRGINIA · NIH-11175745
This study is working on a new way to take super-clear MRI pictures of the brain to help spot early signs of Alzheimer's disease, making it easier for doctors to monitor and treat patients who might be at risk.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF VIRGINIA (nih funded) |
| Locations | 1 site (CHARLOTTESVILLE, UNITED STATES) |
| Trial ID | NIH-11175745 on ClinicalTrials.gov |
What this research studies
This research focuses on developing a new MRI imaging framework that enhances the detection of Alzheimer's disease by providing ultra-high resolution images of the brain. It aims to create a motion-robust 3D MRI acquisition method that captures detailed brain structures at a resolution of 0.2 mm, significantly improving upon current methods. By utilizing multiple contrasts and advanced segmentation algorithms, the study seeks to identify early signs of neurodegenerative disorders and monitor disease progression more accurately. This innovative approach could lead to better screening and treatment strategies for patients at risk of Alzheimer's disease.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals at high risk for Alzheimer's disease, particularly those with a family history or early signs of cognitive decline.
Not a fit: Patients with advanced Alzheimer's disease or those who do not have any risk factors for the disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate diagnosis of Alzheimer's disease, improving patient outcomes through timely interventions.
How similar studies have performed: Previous research has shown promise in using advanced imaging techniques for neurodegenerative disorders, indicating that this approach could yield significant advancements.
Where this research is happening
CHARLOTTESVILLE, UNITED STATES
- UNIVERSITY OF VIRGINIA — CHARLOTTESVILLE, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: JACOB, MATHEWS — UNIVERSITY OF VIRGINIA
- Study coordinator: JACOB, MATHEWS
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.
Conditions: Alzheimer disease dementia, Alzheimer syndrome