Unsupervised Deep Photon-Counting CT Reconstruction for Extremity Imaging
Official title: Unsupervised Deep Photon-Counting Computed Tomography Reconstruction for Human Extremity Imaging
Funded at University of Massachusetts Lowell · NIH-11541214 · Data updated 2026-11-12
A team at a university will develop unsupervised deep learning methods to improve photon-counting CT images of arms and legs, aiming for clearer images with lower radiation.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Massachusetts Lowell NIH-funded |
| Lab location | 1 site (Lowell, United States) |
| Project start | July 1, 2023 |
| Project end | April 30, 2027 |
| Funding year | 2026 |
| Award (this year) | $12,229 |
| NIH project number | 3R01EB034737-04S1 |
| Project ID | NIH-11541214 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients requiring extremity CT imaging who would benefit from lower-dose, higher-quality scans.
✕Less likely to help
Patients not requiring photon-counting CT or those unable to undergo CT imaging.
What this research studies
This project focuses on reconstructing high-quality photon-counting CT images using unsupervised deep learning to handle challenges in image quality and stability. It will explore architectures and algorithms that leverage big data to improve material decomposition and tissue characterization in extremity imaging. The work seeks to reduce artifacts and improve reliability without needing large labeled datasets, potentially speeding clinical adoption of advanced CT techniques.
Why it matters
Potential benefit: If successful, patients could receive clearer extremity CT images with lower radiation exposure.
How similar studies have gone: Previous deep-learning reconstructions show promise but face stability concerns; this study aims to address those with unsupervised methods.
Where this research is happening
-
University of Massachusetts Lowell
Lowell, United States Active
Researchers
- Principal investigator: Yu, Hengyong — University of Massachusetts Lowell
- Study coordinator: Yu, Hengyong
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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.