Proceedings on Automation in Medical Engineering
Vol. 3 No. 1 (2026): Proc AUTOMED
https://doi.org/10.18416/AUTOMED.2026.2483

18th Interdisciplinary AUTOMED Symposium in Collaboration with the TC Medical Robotics, 2483

Contactless ultrasound imaging for pediatric forearm fracture detection

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Rucha Golwalkar (Institute of Robotics and Cognitive Systems, University of Lübeck, Lübeck, Germany), Ludger Tüshaus (Klinik für Kinderchirurgie, Universitatsklinikum Schleswig-Holstein, Lübeck, Germany), Floris Ernst (Institute of Robotics and Cognitive Systems, University of Lübeck, Lübeck, Germany)

Abstract

Pediatric forearm fractures are common, and while X-ray imaging is the standard for diagnosis, minimizing radiation exposure is critical. Ultrasound offers a non-invasive, radiation-free alternative, but its reliability depends on operator skill. This study presents a contactless ultrasound imaging approach for pediatric forearm fracture detection, in which the forearm is submerged in water while the ultrasound probe remains outside a purpose-built water tank. Manual imaging of phantoms and a human forearm demonstrates the feasibility of capturing high-quality images without direct contact. This approach improves patient comfort and safety and establishes a foundation for future robot-assisted automation and clinical validation.

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