Making Ultrasound Imaging Systems Smaller and More Efficient
Space-Time Compressed Sampling Techniques for Integrated Ultrasound Imaging System-on-a-Chip
This project aims to create a new kind of ultrasound technology that is more compact and uses less energy, making it easier to use for 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 ID | NIH-11145893 on NIH RePORTER |
What this research studies
Current portable ultrasound systems often face challenges with size, power, and data handling, which can limit their performance for advanced imaging. Our goal is to develop a new method for processing ultrasound data directly within the device, allowing for smaller, more energy-efficient systems. This innovative approach will combine data compression with digital conversion, helping to reduce the amount of data while maintaining high image quality and speed. We plan to design and build a prototype of this new ultrasound chip, which could eventually be used in very small devices, like those found in catheters.
Who could benefit from this research
Good fit: This research is focused on developing new technology, so it does not directly involve patient participation at this stage, but future patients needing ultrasound imaging could benefit.
Not a fit: Patients who do not require ultrasound imaging or those seeking immediate treatment options would not directly benefit from this early-stage technology development.
Why it matters
Potential benefit: If successful, this technology could lead to more accessible, high-quality ultrasound imaging, potentially making advanced diagnostics available in more settings, including wearable or catheter-based applications.
How similar studies have performed: This project explores a novel approach using compressed sensing for ultrasound imaging at the integrated circuit level, building on existing knowledge but introducing new methods for data reduction and digitization.
Where this research is happening
Atlanta, United States
- Georgia Institute of Technology — Atlanta, United States (Active)
Researchers
- Principal investigator: Li, Shaolan — Georgia Institute of Technology
- Study coordinator: Li, Shaolan
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.