Improving ultrasound imaging speed and accuracy using new mathematical methods
Novel pseudo-differential methods to drastically increase computational speed and accuracy for biomedical ultrasound imaging and focusing
This study is working on new technology to make ultrasound images clearer and faster, which could help doctors better monitor how well your organs are working and improve treatments, so you get more accurate results when you need an ultrasound.
Quick facts
| Grant type | R15 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Texas Tyler NIH-funded |
| Lab location | 1 site (Tyler, United States) |
| Project ID | NIH-10974659 on NIH RePORTER |
What this research studies
This research focuses on enhancing the efficiency and precision of ultrasound imaging by developing novel pseudo-differential algorithms. These algorithms aim to improve the simulation of wave propagation in biological tissues, striking a balance between speed and accuracy. By automating the optimization of ultrasound settings and enabling real-time imaging, this approach could significantly enhance clinical workflows, particularly in monitoring organ perfusion and assessing therapeutic procedures. Patients may benefit from more accurate and timely ultrasound assessments as a result of this innovative technology.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients requiring ultrasound imaging for cardiovascular assessments or other conditions where real-time monitoring is critical.
Not a fit: Patients who do not require ultrasound imaging or those with conditions that do not involve organ perfusion monitoring may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to faster and more accurate ultrasound imaging, improving patient monitoring and treatment outcomes.
How similar studies have performed: Other research has shown promise in improving ultrasound imaging techniques, but this specific approach using pseudo-differential methods is relatively novel.
Where this research is happening
Tyler, United States
- University of Texas Tyler — Tyler, United States (Active)
Researchers
- Principal investigator: Khajah, Tahsin — University of Texas Tyler
- Study coordinator: Khajah, Tahsin
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.