Improving heart imaging by reducing artifacts in CT scans
Official title: Cardiac CT Deblooming
Funded at Ge Medical Systems Information Technologies, INC · NIH-11031488 · Data updated 2026-11-12
This study is working on making heart scans clearer and more accurate for people with coronary artery disease, so doctors can better see what's going on without needing costly equipment changes, which means fewer unnecessary tests and procedures for patients.
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 | September 1, 2020 |
| Project end | June 30, 2025 |
| Funding year | 2023 |
| Award (this year) | $864,190 |
| NIH project number | 6R01HL151561-05 |
| Project ID | NIH-11031488 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals undergoing evaluation for coronary artery disease who require cardiac CT imaging.
✕Less likely to help
Patients who do not require cardiac imaging or those with conditions unrelated to coronary artery disease may not benefit from this research.
What this research studies
This research focuses on enhancing the accuracy of cardiac CT scans used for diagnosing coronary artery disease (CAD) by eliminating artifacts that can obscure important details. The project employs advanced deep learning techniques to refine imaging protocols and processing algorithms, aiming to produce clearer images without the need for expensive hardware changes. By addressing issues like calcium and stent blooming artifacts, the research seeks to reduce the number of non-diagnostic scans and unnecessary invasive procedures for patients. The collaboration involves experts from GE Research, Rensselaer Polytechnic Institute, and Weill Cornell Medicine to ensure a comprehensive approach to improving cardiac imaging.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses of coronary artery disease, reducing the need for invasive procedures and improving patient outcomes.
How similar studies have gone: Other research has shown promise in using deep learning techniques to enhance medical imaging, indicating that this approach could be effective.
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.