New imaging methods to improve coronary artery disease diagnosis with dynamic PET
Official title: Novel methodologies to improve coronary artery disease diagnostics with dynamic PET
Funded at University of Cincinnati · NIH-11396258 · Data updated 2026-11-12
A new PET imaging approach is being tested to measure heart blood flow more accurately in people with suspected coronary artery disease.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Cincinnati NIH-funded |
| Lab location | 1 site (Cincinnati, United States) |
| Project start | July 1, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2026 |
| Award (this year) | $621,999 |
| NIH project number | 5R01HL170245-03 |
| Project ID | NIH-11396258 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults being evaluated for suspected coronary artery disease who can undergo dynamic PET imaging and provide informed consent.
✕Less likely to help
Patients unable to undergo PET imaging or who do not have CAD-related diagnostic questions may not benefit from this research.
What this research studies
This project aims to advance four-dimensional, noise-reduced, direct parametric PET image reconstruction for dynamic myocardial perfusion imaging. By using data-driven motion correction and unsupervised deep learning-based regularization, the team hopes to improve the accuracy of heart blood flow measurements from 82Rb PET data. The work will compare 4D direct reconstruction with current methods and validate it through animal and human studies to ensure reliable, quantitative results. If successful, clinicians could rely on clearer, more precise images to guide diagnosis and treatment decisions for CAD.
Why it matters
Potential benefit: If successful, patients with CAD may receive more accurate and timely diagnoses based on improved PET imaging technology.
How similar studies have gone: Previous work shows promise for 4D PET reconstruction and motion correction, but direct clinical validation remains limited and this study aims to strengthen evidence.
Where this research is happening
-
University of Cincinnati
Cincinnati, United States Active
Researchers
- Principal investigator: Tang, Jing — University of Cincinnati
- Study coordinator: Tang, Jing
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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.