Improving MRI image quality using machine learning techniques
Machine Learning-Based Adaptation of Data Sampling and Reconstruction for Efficient Dynamic MRI
['FUNDING_R21'] · MICHIGAN STATE UNIVERSITY · NIH-10705033
This study is exploring how to make MRI scans clearer and more detailed by using smart computer technology to improve the way images are taken and put together, so patients can get better diagnoses and care.
Quick facts
| Phase | ['FUNDING_R21'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | MICHIGAN STATE UNIVERSITY (nih funded) |
| Locations | 1 site (EAST LANSING, UNITED STATES) |
| Trial ID | NIH-10705033 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the quality of magnetic resonance imaging (MRI) by utilizing machine learning to optimize how data is collected and reconstructed. Traditional MRI methods often result in low-resolution images due to fixed data sampling patterns and nonadaptive algorithms. By implementing a machine learning-based system, the research aims to tailor data acquisition to specific clinical tasks and patient characteristics, potentially leading to clearer and more accurate images. The study will involve testing various sampling strategies and reconstruction methods using large datasets to determine the most effective approaches.
Who could benefit from this research
Good fit: Ideal candidates for this research include patients undergoing MRI scans for various medical conditions, particularly those requiring dynamic imaging of moving organs like the heart.
Not a fit: Patients who do not require MRI imaging or those with conditions that do not involve dynamic imaging may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve the diagnostic accuracy of MRI scans for patients.
How similar studies have performed: Previous research has shown promise in using machine learning for image reconstruction in medical imaging, indicating that this approach could lead to significant advancements.
Where this research is happening
EAST LANSING, UNITED STATES
- MICHIGAN STATE UNIVERSITY — EAST LANSING, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: RAVISHANKAR, SAIPRASAD — MICHIGAN STATE UNIVERSITY
- Study coordinator: RAVISHANKAR, SAIPRASAD
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.