振动声学检测椎弓根螺钉松动的新传感范例。

IF 2.6 4区 医学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Medical & Biological Engineering & Computing Pub Date : 2024-11-19 DOI:10.1007/s11517-024-03235-4
Matthias Seibold, Bastian Sigrist, Tobias Götschi, Jonas Widmer, Sandro Hodel, Mazda Farshad, Nassir Navab, Philipp Fürnstahl, Christoph J Laux
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引用次数: 0

摘要

目前,评估椎弓根螺钉植入物状况和检测其松动的临床金标准是放射线医学成像。然而,仅凭医学影像,临床医生无法可靠地识别大量病例中松动的植入物。为了补充医学成像对椎弓根螺钉松动检测的不足,我们提出了一种基于振动声学传感的无辐射、无损伤、易于集成的松动检测新方法和新模式。为了检测松动的植入体,我们在棘突处用正弦扫频振动激发相关椎体,并使用直接连接在螺钉头的定制高灵敏度压电振动传感器捕捉传播的振动特征,然后使用基于频谱图特征和 SE-ResNet-18 的检测管道对其进行分析。为了验证所提出的方法,我们提出了一种新颖的、经过生物力学验证的椎弓根螺钉松动模拟技术,使用四个人体尸体腰椎标本进行了实验,并在交叉验证实验中对我们的算法进行了评估。所提出的方法对椎弓根螺钉松动检测的灵敏度为 91.50 ± 6.58 %,特异度为 91.10 ± 2.27 %。
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A new sensing paradigm for the vibroacoustic detection of pedicle screw loosening.

The current clinical gold standard to assess the condition and detect loosening of pedicle screw implants is radiation-emitting medical imaging. However, solely based on medical imaging, clinicians are not able to reliably identify loose implants in a substantial amount of cases. To complement medical imaging for pedicle screw loosening detection, we propose a new methodology and paradigm for the radiation-free, non-destructive, and easy-to-integrate loosening detection based on vibroacoustic sensing. For the detection of a loose implant, we excite the vertebra of interest with a sine sweep vibration at the spinous process and use a custom highly sensitive piezo vibration sensor attached directly at the screw head to capture the propagated vibration characteristics which are analyzed using a detection pipeline based on spectrogram features and a SE-ResNet-18. To validate the proposed approach, we propose a novel, biomechanically validated simulation technique for pedicle screw loosening, conduct experiments using four human cadaveric lumbar spine specimens, and evaluate our algorithm in a cross-validation experiment. The proposed method reaches a sensitivity of 91.50 ± 6.58 % and a specificity of 91.10 ± 2.27 % for pedicle screw loosening detection.

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来源期刊
Medical & Biological Engineering & Computing
Medical & Biological Engineering & Computing 医学-工程:生物医学
CiteScore
6.00
自引率
3.10%
发文量
249
审稿时长
3.5 months
期刊介绍: Founded in 1963, Medical & Biological Engineering & Computing (MBEC) continues to serve the biomedical engineering community, covering the entire spectrum of biomedical and clinical engineering. The journal presents exciting and vital experimental and theoretical developments in biomedical science and technology, and reports on advances in computer-based methodologies in these multidisciplinary subjects. The journal also incorporates new and evolving technologies including cellular engineering and molecular imaging. MBEC publishes original research articles as well as reviews and technical notes. Its Rapid Communications category focuses on material of immediate value to the readership, while the Controversies section provides a forum to exchange views on selected issues, stimulating a vigorous and informed debate in this exciting and high profile field. MBEC is an official journal of the International Federation of Medical and Biological Engineering (IFMBE).
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