Improving ultrasound imaging for obese patients using advanced technology
A machine learning ultrasound beamformer based on realistic wave physics for high body mass index imaging
This study is working on improving ultrasound images for people with higher body weight, so they can get clearer and more accurate results during their medical exams.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of North Carolina Chapel Hill NIH-funded |
| Lab location | 1 site (Chapel Hill, United States) |
| Project ID | NIH-10807070 on NIH RePORTER |
What this research studies
This research focuses on enhancing ultrasound imaging quality for individuals with high body mass index (BMI), a group often underserved in medical imaging. By utilizing advanced machine learning techniques and realistic wave physics, the project aims to develop a new ultrasound beamformer that can better capture images despite the challenges posed by excess body fat and connective tissue. The methodology involves creating models that accurately reflect how sound waves propagate through different tissue types, which is crucial for producing clearer and more reliable ultrasound images. This innovative approach seeks to improve diagnostic capabilities and healthcare outcomes for obese patients.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals with a high body mass index who require ultrasound imaging for medical evaluations.
Not a fit: Patients with a normal body mass index or those who do not require ultrasound imaging may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to significantly improved ultrasound imaging quality for obese patients, enhancing diagnostic accuracy and treatment effectiveness.
How similar studies have performed: Other research has shown promise in using advanced imaging techniques to improve diagnostic outcomes for patients with obesity, indicating that this approach could be effective.
Where this research is happening
Chapel Hill, United States
- Univ of North Carolina Chapel Hill — Chapel Hill, United States (Active)
Researchers
- Principal investigator: Pinton, Gianmarco — Univ of North Carolina Chapel Hill
- Study coordinator: Pinton, Gianmarco
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.