Next-generation 3D views from endoscopy videos
Next-gen 3D Modeling of Endoscopy Videos
This project will create computer methods that turn endoscopy videos into clearer 3D views to help doctors find and treat problems more completely.
Quick facts
| Grant type | R21 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 ID | NIH-11317125 on NIH RePORTER |
What this research studies
Researchers are building new computer algorithms that turn the video from your endoscopy into a 3D map of the organ so doctors can see hidden or missed areas. The work focuses on handling typical challenges inside the body like shiny mucus, moving or flexible tissues, and narrow winding pathways. The tools aim to guide clinicians back to unsurveyed regions, enable semi-autonomous navigation, and automate post-procedure measurements such as airway cross-sectional area. Developers will test the methods on recorded endoscopy videos and likely on clinical cases to improve accuracy and reliability.
Who could benefit from this research
Good fit: People scheduled for endoscopic exams (for example colonoscopy, upper GI endoscopy, or bronchoscopy) would be the most likely candidates to be involved or benefit from this work.
Not a fit: Patients who are not having endoscopy, whose care uses other imaging methods, or who are treated at sites not using the new tools are unlikely to see direct benefit from this grant.
Why it matters
Potential benefit: If successful, this could reduce missed lesions, shorten procedure times, lower patient discomfort, and give doctors dependable 3D measurements after the exam.
How similar studies have performed: Previous 3D reconstruction approaches using SLAM methods have had limited and unreliable success (often 40–50% for static shapes), so this work builds new methods to improve on those results.
Where this research is happening
Chapel Hill, United States
- Univ of North Carolina Chapel Hill — Chapel Hill, United States (Active)
Researchers
- Principal investigator: Sengupta, Roni — Univ of North Carolina Chapel Hill
- Study coordinator: Sengupta, Roni
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.