Learning ultrasound rendering from cross-sectional model slices for simulated training

Lin Zhang, Tiziano Portenier, Orcun Goksel

Abstract: Given the high level of expertise required for navigation and interpretation of ultrasound images, computational simulations can facilitate the training of such skills in virtual reality. With ray-tracing based simulations, realistic ultrasound images can be generated. However, due to computational constraints for interactivity, image quality typically needs to be compromised.