For several decades, using ultrasound imaging in a clinical setting meant choosing some application-specific parameters, acquiring a set of images manually, and analyzing them based on prior anatomical knowledge and imaging experience. Today, the AI revolution in the medical field also encompasses ultrasound, adding great benefit through learning-based analysis, e.g. anatomy detection or classification. But the versatility and the real-time nature of ultrasound allows us to go even further, fundamentally changing how images are acquired. In this webinar, we will discuss novel approaches to image acquisition, processing, and visualization that have the potential to radically change clinical practice and transform the ultrasound probe into an ever-more-indispensable point-of-care tool. After an introduction of NVIDIA's CLARA platform, we will look beyond conventional image processing and show how more original applications of recent GPU-Based technologies like deep learning enable real breakthroughs in both diagnostics and interventions.
By attending this webinar, you'll learn:
- about NVIDIA CLARA and how it enables the medical industry to build and deploy breakthrough algorithms
- how to automate calibration algorithms and camera-like "auto-focus" based on real-time target detection
- how to revisit the full imaging pipeline with innovative real-time solutions including image enhancement, anatomy classification, or even 3D reconstruction of 2D clips