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Accurate 3D reconstruction of bony surfaces using ultrasonic synthetic aperture techniques for robotic knee arthroplasty

机译:使用超声合成孔径技术对机器人膝关节进行精确的3D骨表面重建

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摘要

Robotically guided knee arthroplasty systems generally require an individualized, preoperative 3D model of the knee joint. This is typically measured using Computed Tomography (CT) which provides the required accuracy for preoperative surgical intervention planning. Ultrasound imaging presents an attractive alternative to CT, allowing for reductions in cost and the elimination of doses of ionizing radiation, whilst maintaining the accuracy of the 3D model reconstruction of the joint. Traditional phased array ultrasound imaging methods, however, are susceptible to poor resolution and signal to noise ratios (SNR). Alleviating these weaknesses by offering superior focusing power, synthetic aperture methods have been investigated extensively within ultrasonic non-destructive testing. Despite this, they have yet to be fully exploited in medical imaging. In this paper, the ability of a robotic deployed ultrasound imaging system based on synthetic aperture methods to accurately reconstruct bony surfaces is investigated. Employing the Total Focussing Method (TFM) and the Synthetic Aperture Focussing Technique (SAFT), two samples were imaged which were representative of the bones of the knee joint: a human-shaped, composite distal femur and a bovine distal femur. Data were captured using a 5MHz, 128 element 1D phased array, which was manipulated around the samples using a robotic positioning system. Three dimensional surface reconstructions were then produced and compared with reference models measured using a precision laser scanner. Mean errors of 0.82 mm and 0.88 mm were obtained for the composite and bovine samples, respectively, thus demonstrating the feasibility of the approach to deliver the sub-millimetre accuracy required for the application.
机译:机器人引导的膝关节置换系统通常需要膝关节的个性化,术前3D模型。通常使用计算机断层扫描(CT)进行测量,该技术可为术前手术干预计划提供所需的准确性。超声成像是CT的一种有吸引力的替代方法,可以降低成本并消除电离辐射剂量,同时保持关节3D模型重建的准确性。然而,传统的相控阵超声成像方法容易受到较差的分辨率和信噪比(SNR)的影响。通过提供卓越的聚焦能力来缓解这些缺点,合成孔径方法已在超声无损检测中得到了广泛研究。尽管如此,它们尚未在医学成像中得到充分利用。在本文中,研究了基于合成孔径方法的机器人部署的超声成像系统准确重建骨表面的能力。使用总聚焦法(TFM)和合成孔径聚焦技术(SAFT),对两个样品进行了成像,它们代表了膝关节的骨骼:一个人形复合股骨远端和一个牛股骨远端。使用5MHz,128元素的1D相控阵捕获数据,并使用机器人定位系统在样品周围进行处理。然后产生了三维表面重建,并与使用精密激光扫描仪测量的参考模型进行了比较。复合样品和牛样品的平均误差分别为0.82 mm和0.88 mm,因此证明了该方法可提供应用所需的亚毫米精度的可行性。

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