Improving low-dose lung CT imaging using advanced algorithms
Nonlinear performance analysis and prediction for robust low dose lung CT
['FUNDING_R01'] · UNIVERSITY OF PENNSYLVANIA · NIH-10755743
This study is looking at new ways to make low-dose lung CT scans clearer and more accurate, so patients can get better diagnoses and monitoring of their lung health while being exposed to less radiation.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | UNIVERSITY OF PENNSYLVANIA (nih funded) |
| Locations | 1 site (PHILADELPHIA, UNITED STATES) |
| Trial ID | NIH-10755743 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the quality of low-dose lung CT scans through the use of nonlinear algorithms, such as model-based reconstruction and deep learning techniques. By analyzing and predicting the performance of these advanced imaging methods, the study aims to improve the accuracy and reliability of lung imaging while minimizing radiation exposure. The approach involves systematic evaluation of various imaging parameters and their impact on image quality, ensuring that the algorithms can be effectively applied in clinical settings. Patients may benefit from more accurate diagnoses and better monitoring of lung conditions with reduced radiation risks.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals requiring lung imaging, particularly those at risk for lung diseases.
Not a fit: Patients who do not require lung imaging or have conditions that do not involve lung assessment may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to safer and more effective lung imaging techniques for patients.
How similar studies have performed: Previous research has shown promise in using nonlinear algorithms for imaging, indicating potential for success in this novel approach.
Where this research is happening
PHILADELPHIA, UNITED STATES
- UNIVERSITY OF PENNSYLVANIA — PHILADELPHIA, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: GANG, JIANAN GRACE — UNIVERSITY OF PENNSYLVANIA
- Study coordinator: GANG, JIANAN GRACE
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.