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Towards a bimodal proximity sensor for in situ neurovascular bundle detection during dental implant surgery

机译:朝着用于在牙种植体手术中进行原位神经血管束检测的双峰接近传感器

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Proof of concept results are presented towards an in situ bimodal proximity sensor for neurovascular bundle detection during dental implant surgery using combined near infrared absorption (NIR) and optical coherence tomography (OCT) techniques. These modalities are shown to have different sensitivity to the proximity of optical contrast from neurovascular bundles. NIR AC and DC signals from the pulsing of an artery enable qualitative ranging of the bundle in the millimeter range, with best sensitivity around 0.5-3mm distance in a custom phantom setup. OCT provides structural mapping of the neurovascular bundle at sub-millimeter distances in an ex vivo human jaw bone. Combining the two techniques suggests a novel ranging system for the surgeon that could be implemented in a “smart drill.” The proximity to the neurovascular bundle can be tracked in real time in the range of a few millimeters with NIR signals, after which higher resolution imaging OCT to provide finer ranging in the sub-millimeter distances.
机译:使用结合了近红外吸收(NIR)和光学相干断层扫描(OCT)技术的牙科植入手术期间用于神经血管束检测的双峰就位传感器提供了概念验证。这些模态显示出对来自神经血管束的光学对比的接近具有不同的敏感性。来自动脉搏动的NIR AC和DC信号可在毫米范围内对束进行定性测距,在自定义体模设置中具有约0.5-3mm距离的最佳灵敏度。 OCT提供离体人类颌骨中亚毫米距离处的神经血管束的结构图。结合这两种技术,可以为外科医生提供一种新颖的测距系统,可以在“智能钻机”中实施。 NIR信号可在几毫米范围内实时跟踪与神经血管束的接近程度,此后,高分辨率的OCT成像可在亚毫米距离内提供更精细的测距。

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