Improving image quality of mobile CT scans for brain care in intensive care units
Official title: Optimizing Mobile Photon-Counting CT Image Quality via Deep Learning for Neuro Intensive Care Unit
Funded at Massachusetts General Hospital · NIH-11121759 · Data updated 2026-11-12
This study is working on making the pictures from mobile CT scanners used in neuro intensive care units clearer and more accurate, so doctors can better diagnose serious conditions like strokes and bleeding in patients without having to move them around.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts General Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | July 1, 2024 |
| Project end | April 30, 2028 |
| Funding year | 2025 |
| Award (this year) | $443,034 |
| NIH project number | 5R01EB035394-02 |
| Project ID | NIH-11121759 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are critically ill patients requiring brain imaging in a neuro intensive care setting.
✕Less likely to help
Patients who do not require imaging or are not in a neuro intensive care unit may not benefit from this research.
What this research studies
This research focuses on enhancing the image quality of mobile CT scanners used in neuro intensive care units, which are crucial for diagnosing critically ill patients without the need for transport. The project aims to utilize advanced deep learning algorithms to reduce noise and artifacts in images produced by mobile photon-counting CT scanners, making them comparable to fixed CT scanners. By improving the clarity and accuracy of these images, the research seeks to facilitate better diagnosis of conditions like strokes and hemorrhages, ultimately improving patient care. The study will explore innovative techniques to enhance image resolution and contrast while minimizing radiation exposure.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and improved outcomes for patients in neuro intensive care units.
How similar studies have gone: Previous research has shown promise in using deep learning techniques to enhance medical imaging, suggesting potential success for this approach.
Where this research is happening
-
Massachusetts General Hospital
Boston, United States Active
Researchers
- Principal investigator: Wu, Dufan — Massachusetts General Hospital
- Study coordinator: Wu, Dufan
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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.