Motion tracking in 3D ultrasound imaging based on Markov-like deep-learning-based deformable registration

Ultrasound imaging during or prior to radiation therapy offers a great potential in terms of safety, cost and real time imaging capacity. However, this task is challenging for tumors of abdominal such as liver cancer due to respiratory motion. In this work, we proposed an unsupervised deep-learning-based method to track the respiratory motion for 3D ultrasound (US) liver imaging. A Markov-like network, which extract features from consistent 3D...