Bone surface extraction and dynamic tracking from ultrasound images by semantic segmentation

• Published in: 2022 SICE International Symposium on Control Systems (SICE ISCS) pp. 74 - 79
• Main Authors: Haba, Taiga, Itami, Taku, Yoneyama, Jun
• Format: Conference Proceeding
• Language: English; Japanese
• Published: The Society of Instrument and Control Engineers 08.03.2022
• Subjects: Deep learning; Image segmentation; Knee; Legged locomotion; Performance evaluation; Screw-home movement; Semantic segmentation; Semantics; Tracking; Ultrasonic imaging; Ultrasound image

In this study, our aim is to extract bone surface of the tibial from ultrasound images by using semantic segmentation and track the feature point of the extraction during knee flexion and extension automatically for dynamic tracking of the tibial movement in the horizontal plane. Automatic dynamic t...