Automating brain cancer imaging for better diagnosis
Official title: Full-stack automation for reliable and reproducible MRS of brain cancer
Funded at University of Minnesota · NIH-10925156 · Data updated 2026-11-12
This study is working on new ways to use MRI technology to better understand brain tumors by making it easier and quicker to get important information about them, so doctors can help patients more effectively without needing a lot of specialized training.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Minnesota NIH-funded |
| Lab location | 1 site (Minneapolis, United States) |
| Project start | September 8, 2023 |
| Project end | August 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $195,940 |
| NIH project number | 5R01EB034231-02 |
| Project ID | NIH-10925156 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are adults aged 21 and older who are diagnosed with brain tumors.
✕Less likely to help
Patients with brain tumors who are not eligible for MRI scans or those with contraindications for magnetic resonance imaging may not benefit from this research.
What this research studies
This research focuses on developing automated methods for real-time magnetic resonance spectroscopy (MRS) specifically for brain tumors. By integrating these methods with clinical MRI systems, the project aims to enhance the quality and reliability of metabolic information obtained from brain tumors without requiring expert operators. The approach includes creating a 3D voxel placement method and an automatic quantification tool to provide interpretable results. Ultimately, this research seeks to make these advanced tools available as open-source resources for the broader medical community.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and accessible diagnostic tools for brain cancer, improving patient outcomes.
How similar studies have gone: Other research has shown promise in automating imaging techniques, suggesting that this approach could lead to significant advancements in brain cancer diagnostics.
Where this research is happening
-
University of Minnesota
Minneapolis, United States Active
Researchers
- Principal investigator: Marjanska, Malgorzata — University of Minnesota
- Study coordinator: Marjanska, Malgorzata
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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.