Ernst Floris, Osburg Jonas, Tüshaus Ludger
Institute of Robotics and Cognitive Systems, University of Lübeck, Lübeck, Germany.
Department of Paediatric Surgery, University Hospital Schleswig-Holstein, Lübeck, Germany.
Front Robot AI. 2024 Aug 21;11:1405169. doi: 10.3389/frobt.2024.1405169. eCollection 2024.
Paediatric forearm fractures are a prevalent reason for medical consultation, often requiring diagnostic X-rays that present a risk due to ionising radiation, especially concerning given the sensitivity of children's tissues. This paper explores the efficacy of ultrasound imaging, particularly through the development of the SonoBox system, as a safer, non-ionising alternative. With emerging evidence supporting ultrasound as a viable method for fracture assessment, innovations like SonoBox will become increasingly important.
In our project, we want to advance ultrasound-based, contact-free, and automated cross-sectional imaging for diagnosing paediatric forearm fractures. To this end, we are building a technical platform that navigates a commercially available ultrasound probe around the extremity within a water-filled tank, utilising intelligent robot control and image processing methods to generate a comprehensive ultrasound tomogram. Safety and hygiene considerations, gender and diversity relevance, and the potential reduction of radiation exposure and examination pain are pivotal aspects of this endeavour.
Preliminary experiments have demonstrated the feasibility of rapidly generating ultrasound tomographies in a water bath, overcoming challenges such as water turbulence during probe movement. The SonoBox prototype has shown promising results in transmitting position data for ultrasound imaging, indicating potential for autonomous, accurate, and potentially painless fracture diagnosis. The project outlines further goals, including the construction of prototypes, validation through patient studies, and development of a hygiene concept for clinical application.
The SonoBox project represents a significant step forward in paediatric fracture diagnostics, offering a safer, more comfortable alternative to traditional X-ray imaging. By automating the imaging process and removing the need for direct contact, SonoBox has the potential to improve clinical efficiency, reduce patient discomfort, and broaden the scope of ultrasound applications. Further research and development will focus on validating its effectiveness in clinical settings and exploring its utility in other medical and veterinary applications.
小儿前臂骨折是就医的常见原因,通常需要进行诊断性X线检查,而电离辐射会带来风险,鉴于儿童组织的敏感性,这一问题尤其值得关注。本文探讨超声成像的功效,特别是通过SonoBox系统的开发,作为一种更安全的非电离替代方法。随着越来越多的证据支持超声作为骨折评估的可行方法,像SonoBox这样的创新将变得越来越重要。
在我们的项目中,我们希望推进基于超声的、非接触式的自动横断面成像技术,用于诊断小儿前臂骨折。为此,我们正在构建一个技术平台,该平台在充满水的水箱内围绕肢体移动市售超声探头,利用智能机器人控制和图像处理方法生成全面的超声断层图像。安全与卫生考量、性别与多样性相关性以及辐射暴露和检查疼痛的潜在减少是这项工作的关键方面。
初步实验证明了在水浴中快速生成超声断层图像的可行性,克服了探头移动过程中的水湍流等挑战。SonoBox原型在传输超声成像的位置数据方面显示出有希望的结果,表明具有自主、准确且可能无痛的骨折诊断潜力。该项目概述了进一步的目标,包括构建原型、通过患者研究进行验证以及开发临床应用的卫生概念。
SonoBox项目在小儿骨折诊断方面迈出了重要一步,为传统X线成像提供了一种更安全、更舒适的替代方法。通过使成像过程自动化并消除直接接触的需求,SonoBox有潜力提高临床效率、减少患者不适并拓宽超声应用范围。进一步的研究和开发将集中在验证其在临床环境中的有效性,并探索其在其他医学和兽医应用中的效用。