论文标题
专业提示：用于通过小费检测的强大自动超声校准的幻影
PRO-TIP: Phantom for RObust automatic ultrasound calibration by TIP detection
论文作者
论文摘要
我们提出了一种自动校准跟踪超声探针的新方法。为此，我们设计了一个自定义幻影，该幻影由9个圆锥体组成，具有不同的高度。这些技巧用作在多个扫描之间匹配的关键点。我们使用卷积神经网络提取它们，以将每个超声框架中的锥体分割，然后在整个扫描中跟踪它们。使用基于图像的技术，使用RANSAC和后来精致的技术对校准进行了稳健的估计。我们的幻影可以是3D打印的，并且比最先进的方法具有许多优势。幻影设计和算法代码可在线免费获得。由于我们的幻影本身不需要跟踪目标，因此与当前使用的技术相比，易用性的提高。如我们的实验所示，全自动方法将概括为新的探针和不同的供应商。我们的方法产生的结果与域专家获得的校准相当。
We propose a novel method to automatically calibrate tracked ultrasound probes. To this end we design a custom phantom consisting of nine cones with different heights. The tips are used as key points to be matched between multiple sweeps. We extract them using a convolutional neural network to segment the cones in every ultrasound frame and then track them across the sweep. The calibration is robustly estimated using RANSAC and later refined employing image based techniques. Our phantom can be 3D-printed and offers many advantages over state-of-the-art methods. The phantom design and algorithm code are freely available online. Since our phantom does not require a tracking target on itself, ease of use is improved over currently used techniques. The fully automatic method generalizes to new probes and different vendors, as shown in our experiments. Our approach produces results comparable to calibrations obtained by a domain expert.
