Energy-based background correction for clearer PET scans
Data Driven Background Estimation in PET
This project tries a new data-driven method to clean up PET images so people who get PET scans (for brain, breast, or other uses) have clearer, more accurate results.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project ID | NIH-11263694 on NIH RePORTER |
What this research studies
The team is developing a data-driven method that uses the energy of detected photons to remove background scatter and noise from PET images. They will implement and optimize this energy-based (EB) algorithm on measured data from clinical PET scanners using standard tracers like 18F-FDG and non-standard isotopes. The method will be adapted for organ-specific scanners, focusing on brain and breast imaging, and extended to correct bias from prompt gammas emitted by some isotopes. The approach will be tested on clinical scan data to compare image quality and quantitative accuracy with current correction methods.
Who could benefit from this research
Good fit: People scheduled for clinical PET imaging—particularly brain or breast PET scans or scans using non-standard isotopes such as 90Y—would be most directly relevant to this work.
Not a fit: Patients who do not undergo PET imaging or who are scanned on systems and protocols that already produce high-quality images are unlikely to see direct benefit from this project.
Why it matters
Potential benefit: If successful, patients could get clearer and more quantitatively accurate PET scans, which may improve diagnosis and treatment decisions, especially in difficult imaging situations or when non-standard isotopes are used.
How similar studies have performed: Existing scatter- and background-correction methods are used in PET, but fully leveraging photon energy information and correcting prompt-gamma contamination for non-standard isotopes is relatively novel and less tested in clinical practice.
Where this research is happening
Philadelphia, United States
- University of Pennsylvania — Philadelphia, United States (Active)
Researchers
- Principal investigator: Surti, Suleman — University of Pennsylvania
- Study coordinator: Surti, Suleman
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 below.