Improving brain imaging accuracy using deep learning techniques
Distortion Correction in Functional MRI with Deep Learning
This study is working on a new way to make brain scans more accurate by using advanced computer techniques to fix any distortions in the images, which could help doctors better understand brain activity and improve care for patients.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Illinois at Chicago NIH-funded |
| Lab location | 1 site (Chicago, UNITED STATES) |
| Project ID | NIH-10827513 on NIH RePORTER |
What this research studies
This research focuses on enhancing the accuracy of functional magnetic resonance imaging (fMRI), a technique used to map brain activity. It addresses the issue of geometric distortions caused by magnetic field inhomogeneities, which can lead to errors in brain imaging. By employing a novel deep learning approach, the project aims to correct these distortions directly from the raw imaging data, improving the quality of brain images without relying on traditional methods that can introduce artifacts. This could lead to more precise detection of brain activity, benefiting both cognitive neuroscience and patient care.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals undergoing fMRI scans for neurological assessments or cognitive neuroscience studies.
Not a fit: Patients who are not undergoing fMRI scans or those with conditions that do not require brain imaging may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve the accuracy of brain imaging, leading to better diagnosis and treatment planning for neurological conditions.
How similar studies have performed: Other research has shown promise in using deep learning techniques for image correction, suggesting that this approach could be effective.
Where this research is happening
Chicago, UNITED STATES
- University of Illinois at Chicago — Chicago, United States (Active)
Researchers
- Principal investigator: Luo, Qingfei — University of Illinois at Chicago
- Study coordinator: Luo, Qingfei
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.