Advanced motion correction for cardiac PET/CT to improve cancer patient care
Official title: Development and Translation of Advanced Motion Correction Technologies for Cardiac PET/CT
Funded at Yale University · NIH-11325084 · Data updated 2026-11-12
A Yale-led project will develop data-driven motion correction methods to improve heart PET/CT images in cancer patients, using 82Rb tracer without external tracking.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | April 17, 2024 |
| Project end | March 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $587,428 |
| NIH project number | 5R01HL169868-03 |
| Project ID | NIH-11325084 on NIH RePORTER |
Who could benefit from this research
✓Could help
Cancer patients undergoing cardiac PET/CT imaging, especially those evaluated with 82Rb tracer.
✕Less likely to help
Patients not undergoing cardiac PET/CT or not affected by motion-related image quality issues may not benefit.
What this research studies
This project aims to produce better cardiac PET/CT images for cancer patients by correcting motion from breathing and heart movement directly in the data. It focuses on 82Rb cardiac imaging, which has rapid tracer changes and very short half-life, making image quality challenging. The work will create algorithms that align PET and CT scans and improve image accuracy without extra hardware, with potential applicability to other tracers. The end goal is clearer images that can improve diagnosis and monitoring of heart-related aspects in cancer care.
Why it matters
Potential benefit: If successful, patients could receive more accurate cardiac imaging results, leading to better treatment decisions.
How similar studies have gone: Previous motion correction methods exist but often rely on external hardware and may not address PET-CT mismatch; this data-driven approach is a novel extension.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Liu, Chi — Yale University
- Study coordinator: Liu, Chi
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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.