Improving PET imaging using advanced photon counting technology
Machine Learning with Scintillation Photon Counting Detectors to Advance PET Imaging Performance
['FUNDING_R21'] · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · NIH-10742435
This study is working on improving PET scans by using smart technology to make the images clearer and more accurate, which could help doctors diagnose health issues earlier and better for patients like you.
Quick facts
| Phase | ['FUNDING_R21'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB (nih funded) |
| Locations | 1 site (BERKELEY, UNITED STATES) |
| Trial ID | NIH-10742435 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing positron emission tomography (PET) imaging by developing advanced detectors that utilize machine learning to improve the sensitivity and quality of images produced. By precisely localizing the origins of photon emissions, the project aims to significantly enhance the signal-to-noise ratio, leading to clearer and more accurate imaging results. Patients undergoing PET scans may benefit from this technology as it could lead to earlier and more accurate diagnoses of various conditions. The approach involves sophisticated algorithms and electronic instrumentation to achieve these advancements.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients who require PET imaging for diagnostic purposes, particularly those with conditions like cancer or neurological disorders.
Not a fit: Patients who do not require PET imaging or those with conditions that do not benefit from enhanced imaging techniques may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to significantly improved PET imaging, allowing for better diagnosis and monitoring of diseases.
How similar studies have performed: Other research has shown promising results in enhancing imaging techniques through advanced detector technologies, indicating that this approach has potential for success.
Where this research is happening
BERKELEY, UNITED STATES
- UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB — BERKELEY, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: CATES, JOSHUA WILLIAM — UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB
- Study coordinator: CATES, JOSHUA WILLIAM
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.