Adaptive Ultrasound Imaging with Physics-Informed NV-Raw2Insights-US AI
NVIDIA and Siemens Healthineers have developed a new AI model called NV-Raw2Insights-US for ultrasound imaging. This model learns directly from raw ultrasound sensor data, allowing for personalized sound speed mapping and real-time image correction. The technology aims to enhance the capabilities of ultrasound imaging by leveraging high-performance computational methods.
- ▪The NV-Raw2Insights-US model processes raw ultrasound data instead of finished images.
- ▪It generates personalized sound speed maps for each patient, improving image focus in real time.
- ▪The system utilizes NVIDIA's Holoscan Sensor Bridge for high-bandwidth data transfer from ultrasound scanners.
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Back to Articles Adaptive Ultrasound Imaging with Physics-Informed NV-Raw2Insights-US AI Community Article Published April 28, 2026 Upvote 4 Walter Simson wsimson Follow nvidia Jay Carlson jaydcarlson Follow nvidia Tom Lassiter tslassit Follow nvidia Kevin Woo kevwoo Follow nvidia Sean Huver shuver Follow nvidia Introduction Raw2Insights Deployment System Capabilities Closing Perspective Introduction Ultrasound is one of the most widely used medical imaging modalities due to its safety, real-time capability, portability, and low cost.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Hugging Face Blog.
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