Using advanced AI techniques to improve MRI scans for early detection of Alzheimer's disease
Deep-Learning Enhanced ASL MRI For Early AD Assessment
This study is looking to improve MRI scans for people with early signs of Alzheimer's disease by using advanced technology to get clearer pictures of brain blood flow, helping doctors better understand the condition and track changes over time.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Maryland Baltimore NIH-funded |
| Lab location | 1 site (Baltimore, United States) |
| Project ID | NIH-11054678 on NIH RePORTER |
What this research studies
This research focuses on enhancing the accuracy of MRI scans using deep learning to better assess Alzheimer's disease (AD) at an early stage. By improving the measurement of cerebral blood flow through a non-invasive method called arterial spin labeling (ASL), the study aims to overcome current limitations such as low signal quality and long scan times. Patients with cognitive symptoms will undergo MRI scans that can be repeated safely, allowing for ongoing monitoring of brain function and disease progression. The goal is to provide clearer insights into the neuromechanisms of AD, which could lead to better-targeted interventions.
Who could benefit from this research
Good fit: Ideal candidates for this research are adults experiencing cognitive symptoms or at risk for Alzheimer's disease.
Not a fit: Patients with advanced Alzheimer's disease or those without cognitive symptoms may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier and more accurate detection 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 Alzheimer's detection, but this approach utilizing deep learning is relatively novel.
Where this research is happening
Baltimore, United States
- University of Maryland Baltimore — Baltimore, United States (Active)
Researchers
- Principal investigator: Wang, Ze — University of Maryland Baltimore
- Study coordinator: Wang, Ze
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.