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Evaluation of 3D reconstructed lower limb vessel geometries with an ultrasound robotic imaging system

机译:用超声机器人成像系统评估3D重建的下肢血管几何形状

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The localization of lesions, their lengths and the degree of stenosis are the most common criteria used to assess the severity of lower limb peripheral arterial disease (PAD). 2D-ultrasound (US) imaging is the first-line diagnosis method used to investigate arterial lesions; however, it cannot render a 3D map of the entire lower limb vascular tree required for therapy planning. Moreover, current 3D-US developments are not optimally adapted for this particular clinical application. We proposed a prototype 3D-US imaging robotic system that can control and standardize the image acquisition process to reconstruct accurately arteries from the iliac down to the popliteal. Because calibration has a major impact on the quality of reconstructed geometries, a customized Z-phantom calibration procedure was first implemented. At optimum US settings, the calibration transform was evaluated with a reconstruction precision ¿ 1.10 mm. The calibration transform accuracy was also evaluated on two vascular phantoms of lower limb mimicking vessel geometries. Reconstruction performances were assessed in distance errors and cross-sectional areas. The mean reconstruction distance error was 0.39 ± 0.35 mm for the axisymmetric cylindrical phantom, whereas it was 1.38 ± 1.29 mm for the realistic reproduction of a diseased iliac artery. Similar findings were found for the area measures. Altogether, these results demonstrate the potential of the robot to represent adequately lower limb vessels for the clinical evaluation of stenoses.
机译:病变的位置,其长度和狭窄程度是评估下肢周围动脉疾病(PAD)严重程度的最常见标准。 2D超声(US)成像是用于研究动脉病变的一线诊断方法。但是,它无法绘制治疗计划所需的整个下肢血管树的3D地图。此外,当前的3D-US开发并未针对此特定临床应用进行最佳调整。我们提出了一个原型3D-US成像机器人系统,该系统可以控制和标准化图像采集过程,以准确地重建从the到下颌的动脉。由于校准对重构的几何图形的质量有重大影响,因此首先实施了自定义的Z-phantom校准程序。在最佳的美国设置下,校准变换的评估精度为ƒ1.10毫米。还对模仿血管几何形状的下肢的两个血管模型进行了校准转换精度的评估。在距离误差和横截面积方面评估了重建性能。轴对称圆柱体模型的平均重建距离误差为0.39±±0.35 mm,而骨动脉的实际再现为1.38ƒ±1.29 mm。在面积测量中发现了类似的发现。总而言之,这些结果证明了该机器人有潜力代表适当的下肢血管,用于狭窄症的临床评估。

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