UltraBoneUDF: Self-supervised bone surface reconstruction from ultrasound based on neural unsigned distance functions

Key Points

• The method improves bone surface reconstruction quality and efficiency using ultrasound technology.
• Key evidence shows that self-supervised learning enhances accuracy in reconstructing bone surfaces significantly.
• Assessment using neural unsigned distance functions offers a novel approach to 3D modeling of bone surfaces based on ultrasound data.
• Highlights potential for improved diagnostic imaging and treatment planning, with further validation needed in clinical settings.