New techniques for compact ultrasound imaging systems
Official title: Space-Time Compressed Sampling Techniques for Integrated Ultrasound Imaging System-on-a-Chip
Funded at Georgia Institute of Technology · NIH-10872153 · Data updated 2026-11-12
This study is working on creating smaller and more efficient ultrasound machines that can take high-quality images faster, making it easier for doctors to diagnose and treat patients.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Georgia Institute of Technology NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project start | July 1, 2023 |
| Project end | June 30, 2026 |
| Funding year | 2024 |
| Award (this year) | $212,457 |
| NIH project number | 5R21EB034991-02 |
| Project ID | NIH-10872153 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals requiring ultrasound imaging for diagnostic purposes, particularly in settings where traditional equipment may be impractical.
✕Less likely to help
Patients who do not require ultrasound imaging or those with conditions that cannot be diagnosed through ultrasound may not benefit from this research.
What this research studies
This research focuses on developing advanced ultrasound imaging systems that are portable and energy-efficient. It aims to integrate ultrasound electronics on a chip, allowing for better data reduction and digitization without compromising image quality. By utilizing compressed sensing techniques, the project seeks to enhance imaging speed and reduce the size of the equipment, making it suitable for various medical applications. Patients may benefit from improved diagnostic imaging capabilities that are faster and more accessible.
Why it matters
Potential benefit: If successful, this research could lead to more efficient and portable ultrasound imaging systems, improving diagnostic capabilities for patients.
How similar studies have gone: Other research has shown promise in using compressed sensing techniques for imaging, indicating potential success for this novel approach.
Where this research is happening
-
Georgia Institute of Technology
Atlanta, United States Active
Researchers
- Principal investigator: Li, Shaolan — Georgia Institute of Technology
- Study coordinator: Li, Shaolan
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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.