Using advanced technology to improve medical imaging performance
Deep learning technologies for estimating the optimal task performance of medical imaging systems
['FUNDING_R01'] · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · NIH-10911790
This study is working on improving medical imaging technology, like X-rays and MRIs, by creating virtual tests that help measure how clear and useful the images are for diagnosing health issues, with the goal of making these tools better for doctors and patients.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN (nih funded) |
| Locations | 1 site (CHAMPAIGN, UNITED STATES) |
| Trial ID | NIH-10911790 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing medical imaging systems by developing virtual imaging trials that simulate and analyze imaging experiments. It aims to create new computational methods to objectively measure image quality, which can help identify how well images can be used for different diagnostic tasks. By assessing the best possible performance of imaging systems, the research seeks to improve the effectiveness of medical imaging technologies, ultimately benefiting patient diagnosis and treatment. The approach is designed to be open source and applicable across various imaging modalities.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients undergoing diagnostic imaging procedures who may benefit from enhanced imaging technologies.
Not a fit: Patients who do not require medical imaging or those with conditions that do not involve imaging diagnostics may not receive benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to significantly improved diagnostic accuracy and efficiency in medical imaging, benefiting patient care.
How similar studies have performed: Other research has shown success in using computational methods to enhance medical imaging, indicating that this approach has potential for significant advancements.
Where this research is happening
CHAMPAIGN, UNITED STATES
- UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN — CHAMPAIGN, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: ANASTASIO, MARK A — UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
- Study coordinator: ANASTASIO, MARK A
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.