论文标题
周围动脉的机器化超声成像 - 幻影研究
Robotized Ultrasound Imaging of the Peripheral Arteries -- a Phantom Study
论文作者
论文摘要
患有周围动脉疾病的患者的诊断成像的首选是2D超声（美国）。但是，为了进行适当的成像过程，需要熟练且经验丰富的超声波检查员。此外，这是一个高度依赖用户的操作。自动扫描外围动脉的机器人系统有可能克服这些局限性。在这项工作中，我们通过基于卷积神经网络的分层图像分析管道扩展了一个先前提出的系统，以控制机器人。通过检查其在沿着动脉扫描时将腿幻像的容器腔的可行性保留在美国图像中的可行性来评估该系统。在扫描过程中获得的100％图像中，可以看到整个容器腔。在定义2.74毫米的不敏感性边缘时，容器中心和水平图像中心线之间的平均绝对距离分别为2.47毫米和3.90毫米，对于易于且复杂的情况分别为3.90 mm。总之，该系统为人类使用无辐射方法在人类中完全自动化的外围动脉成像提供了基础。
The first choice in diagnostic imaging for patients suffering from peripheral arterial disease is 2D ultrasound (US). However, for a proper imaging process, a skilled and experienced sonographer is required. Additionally, it is a highly user-dependent operation. A robotized US system that autonomously scans the peripheral arteries has the potential to overcome these limitations. In this work, we extend a previously proposed system by a hierarchical image analysis pipeline based on convolutional neural networks in order to control the robot. The system was evaluated by checking its feasibility to keep the vessel lumen of a leg phantom within the US image while scanning along the artery. In 100 % of the images acquired during the scan process the whole vessel lumen was visible. While defining an insensitivity margin of 2.74 mm, the mean absolute distance between vessel center and the horizontal image center line was 2.47 mm and 3.90 mm for an easy and complex scenario, respectively. In conclusion, this system presents the basis for fully automatized peripheral artery imaging in humans using a radiation-free approach.
