Improving brain imaging techniques for newborns and children
Accurate, reliable, and interpretable machine learning for assessment of neonatal and pediatric brain micro-structure
This study is working on improving brain scans for babies and kids to help doctors better understand their brain health, even when the images aren't perfect.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Boston Children's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11015913 on NIH RePORTER |
What this research studies
This research focuses on enhancing diffusion-weighted magnetic resonance imaging (dMRI) to better assess brain microstructure in neonatal and pediatric patients. By developing advanced machine learning techniques, the project aims to accurately estimate brain biomarkers even from low-quality imaging data, which is often a challenge in young patients. The research utilizes large datasets, such as those from the Human Connectome Project, to train and validate these innovative methods. Ultimately, the goal is to provide more reliable assessments of brain health in infants and children.
Who could benefit from this research
Good fit: Ideal candidates for this research are newborns and children who require brain imaging for assessment of potential neurological issues.
Not a fit: Patients who are adults or do not require brain imaging will likely not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnostic capabilities for detecting brain abnormalities in newborns and children.
How similar studies have performed: Previous research has shown promise in using machine learning techniques for medical imaging, indicating potential success for this approach.
Where this research is happening
Boston, United States
- Boston Children's Hospital — Boston, United States (Active)
Researchers
- Principal investigator: Karimi, Davood — Boston Children's Hospital
- Study coordinator: Karimi, Davood
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.