Autonomous Navigation of an Ultrasound Probe Towards Standard Scan Planes with Deep Reinforcement Learning
Keyu Li Jian Wang Yangxin Xu Hao Qin Dongsheng Liu Li Liu Max Q.-H. Meng Keyu Li Jian Wang Yangxin Xu Hao Qin Dongsheng Liu Li Liu Max Q.-H. Meng
Autonomous ultrasound (US) acquisition is an important yet challenging task, as it involves interpretation of the highly complex and variable images and their spatial relationships. In this work, we propose a deep reinforcement learning framework to autonomously control the 6-D pose of a virtual US probe based on real-time image feedback to navigate towards the standard scan planes under the restr...