Improving brain imaging using advanced AI techniques
Next Generation Brain PET Imaging
['FUNDING_R01'] · STANFORD UNIVERSITY · NIH-10894938
This study is looking at how new computer technology can improve brain scans to help doctors better diagnose conditions like tumors, dementia, and epilepsy, while also aiming to reduce the amount of radiation patients are exposed to during these tests.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | STANFORD UNIVERSITY (nih funded) |
| Locations | 1 site (STANFORD, UNITED STATES) |
| Trial ID | NIH-10894938 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing brain PET imaging through the use of deep learning technologies. By developing advanced convolutional neural networks, the project aims to create high-quality diagnostic images from low-dose PET and MRI scans, potentially reducing patient exposure to radiation. The study will evaluate the effectiveness of these AI-generated images in diagnosing conditions such as tumors, dementia, and epilepsy. Additionally, it seeks to explore the possibility of generating PET images without any radiation exposure by relying solely on MRI data.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals undergoing evaluation for brain tumors, dementia, or epilepsy.
Not a fit: Patients with conditions unrelated to brain imaging or those who do not require PET scans may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to safer and more accessible brain imaging techniques for patients.
How similar studies have performed: Other research has shown promise in using AI for medical imaging, indicating that this approach could lead to significant advancements in the field.
Where this research is happening
STANFORD, UNITED STATES
- STANFORD UNIVERSITY — STANFORD, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: ZAHARCHUK, GREGORY GEORGE — STANFORD UNIVERSITY
- Study coordinator: ZAHARCHUK, GREGORY GEORGE
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.