Improving heart imaging by reducing radiation and scan time
Official title: Optimization of diagnostic accuracy, radiation dose, and patient throughput for cardiac SPECT via advanced and clinically practical cardiac-respiratory motion correction and deep learning
Funded at Illinois Institute of Technology · NIH-10685488 · Data updated 2026-11-12
This study is looking at new ways to make heart scans safer and quicker for patients, especially older adults, by using advanced technology to lower the amount of radiation and time needed for the procedure while still getting accurate results.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Illinois Institute of Technology NIH-funded |
| Lab location | 1 site (Chicago, United States) |
| Project start | July 1, 2020 |
| Project end | June 30, 2025 |
| Funding year | 2023 |
| Award (this year) | $773,340 |
| NIH project number | 5R01HL154687-04 |
| Project ID | NIH-10685488 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include elderly patients and those with coronary artery disease who require myocardial perfusion imaging.
✕Less likely to help
Patients who do not require cardiac imaging or those with conditions that contraindicate SPECT MPI may not benefit from this research.
What this research studies
This research focuses on enhancing the accuracy and efficiency of heart imaging using single-photon emission computed tomography (SPECT). The project aims to significantly lower the radiation dose and scan time for patients, making the procedure safer and more comfortable, especially for elderly individuals. By employing advanced techniques such as deep learning and motion compensation, the researchers intend to maintain or even improve diagnostic accuracy while reducing the overall burden on patients. The study will involve testing these innovative methods in clinical settings to ensure they are practical and effective.
Why it matters
Potential benefit: If successful, this research could lead to safer and quicker heart imaging procedures for patients, reducing their exposure to radiation.
How similar studies have gone: Previous research has shown promise in using advanced imaging techniques and deep learning for improving diagnostic accuracy and reducing radiation exposure, indicating that this approach could be effective.
Where this research is happening
-
Illinois Institute of Technology
Chicago, United States Active
Researchers
- Principal investigator: Yang, Yongyi — Illinois Institute of Technology
- Study coordinator: Yang, Yongyi
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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.