New methods for analyzing brain imaging data without reference regions
Official title: Projective Methods for PET/SPECT Image Analysis
Funded at Yale University · NIH-11127024 · Data updated 2026-11-12
This study is working on new ways to analyze brain scans for conditions like Parkinson's, making it easier for doctors to understand brain function without needing standard reference points, which could help improve brain imaging for everyone.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | April 1, 2025 |
| Project end | March 31, 2027 |
| Funding year | 2025 |
| Award (this year) | $244,500 |
| NIH project number | 1R21NS138720-01A1 |
| Project ID | NIH-11127024 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals undergoing PET or SPECT imaging for neurological conditions, particularly those with Parkinson's Disease.
✕Less likely to help
Patients who do not require PET or SPECT imaging or those with conditions that do not involve brain imaging may not benefit from this research.
What this research studies
This research focuses on developing innovative computational techniques for analyzing PET and SPECT neuroimages, which are crucial for understanding brain function and diseases like Parkinson's. The project aims to create algorithms that allow for the analysis of these images without relying on traditional reference regions, which can be limiting. By utilizing projective geometry, the researchers will evaluate their methods using large datasets from existing imaging studies, comparing the new approach to classical methods. This could enhance the use of various radiotracers in clinical settings, making brain imaging more accessible and effective.
Why it matters
Potential benefit: If successful, this research could improve the accuracy and utility of brain imaging techniques, leading to better diagnosis and treatment of neurological conditions.
How similar studies have gone: While the approach of using projective geometry for image analysis is innovative, similar methodologies in image processing have shown promise in other contexts, suggesting potential for success.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Tagare, Hemant D — Yale University
- Study coordinator: Tagare, Hemant D
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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.