Developing a smart cardiac CT scanner for better heart imaging
Official title: Deviceless and Autonomous Prospective Cardiac CT Triggering
Funded at Ge Medical Systems Information Technologies, INC · NIH-11031485 · Data updated 2026-11-12
This study is working on a new way to take heart pictures that makes it easier and faster for doctors to check for heart disease, so patients can get better and quicker diagnoses without complicated equipment.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ge Medical Systems Information Technologies, INC NIH-funded |
| Lab location | 1 site (Niskayuna, United States) |
| Project start | August 1, 2020 |
| Project end | June 30, 2025 |
| Funding year | 2023 |
| Award (this year) | $856,624 |
| NIH project number | 6R01HL153250-05 |
| Project ID | NIH-11031485 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals at risk for coronary heart disease who require cardiac imaging for diagnosis or treatment planning.
✕Less likely to help
Patients who do not require cardiac imaging or those with conditions that preclude the use of CT imaging may not benefit from this research.
What this research studies
This research focuses on improving cardiac CT imaging, which is crucial for diagnosing coronary heart disease (CHD). The project aims to create a device that can autonomously determine the best time to take images of the heart without the need for traditional methods like ECG or bolus tracking. By using advanced techniques such as fast X-ray tube pulsing and deep learning, the goal is to simplify the imaging process, making it quicker and more accessible for patients. This innovation could potentially enhance the accuracy and efficiency of heart disease diagnosis.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and accessible cardiac imaging, improving early detection and treatment of coronary heart disease.
How similar studies have gone: Other research has shown promise in using advanced imaging techniques and machine learning for cardiac applications, indicating potential for success in this novel approach.
Where this research is happening
-
Ge Medical Systems Information Technologies, INC
Niskayuna, United States Active
Researchers
- Principal investigator: De Man, Bruno — Ge Medical Systems Information Technologies, INC
- Study coordinator: De Man, Bruno
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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.