Improving MRI imaging of upper limb muscles for better clinical use
Automatic MRI segmentation for upper limb muscles for clinical applications
This study is working on improving MRI scans of arm muscles for people with rotator cuff injuries, using smart computer techniques to create clearer images that can help doctors make better treatment decisions.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Northwestern University NIH-funded |
| Lab location | 1 site (Chicago, UNITED STATES) |
| Project ID | NIH-10693854 on NIH RePORTER |
What this research studies
This research focuses on enhancing the accuracy of MRI imaging for upper limb muscles, particularly in patients with rotator cuff injuries. By developing automated methods for 3D segmentation of muscle anatomy, the project aims to provide more detailed and reliable imaging data that can inform clinical decisions. The approach involves using machine learning techniques trained on a dataset of MR images from healthy individuals and those with injuries, allowing for faster and more precise analysis in clinical settings.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with rotator cuff injuries or those undergoing evaluation for upper limb muscle conditions.
Not a fit: Patients without upper limb muscle injuries or those not requiring MRI imaging for muscle evaluation may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved diagnosis and treatment planning for patients with upper limb muscle injuries.
How similar studies have performed: Previous research has shown promise in using machine learning for medical imaging, suggesting that this approach could yield significant advancements in muscle imaging.
Where this research is happening
Chicago, UNITED STATES
- Northwestern University — Chicago, United States (Active)
Researchers
- Principal investigator: Murray, Wendy M — Northwestern University
- Study coordinator: Murray, Wendy M
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.