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Developing a planning method for straight needle insertion using probability-based condition where a puncture occurs

机译:开发基于发生穿刺的基于概率的条件进行直针插入的计划方法

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Needle insertion treatments require accurate placement of the needle tip into the target cancer. However, it is difficult to insert the needle accurately because of cancer displacement caused by organ deformation. Therefore, a path planning using numerical simulation to analyze the deformation of the organ is important for accurate needle insertion. The problem in developing a planning method is that puncture conditions, such as the force applied to the needle, is difficult to be decided deterministically, because the experimental data of puncture conditions have variations. Therefore, the purpose of this research was to develop a novel planning method to decide the robust paths of straight needle insertion for various puncture points. The basic idea of this planning method is to consider the puncture condition probabilistic and to evaluate the expected value of needle placement accuracy. First, a probability-based puncture condition was introduced, and then the expected value of needle placement accuracy was defined. Next, the optimization method was developed to search the insertion path in a way that minimizes the expected values of needle placement accuracy. Then, a numerical simulation and evaluation of the planning method was conducted, using a liver-shaped 2D model. Furthermore, an in-vitro experiment was carried out to measure needle placement accuracy from the optimized path. Experimental results show that the planning method realizes needle insertion with a mean accuracy of 1.5 mm.
机译:针头插入治疗需要将针尖准确放置到目标癌症中。但是,由于器官变形引起的癌移位,难以准确地插入针头。因此,使用数值模拟来分析器官变形的路径规划对于准确地插入针头很重要。开发计划方法的问题在于,由于穿刺条件的实验数据具有变化性,因此难以确定性地确定穿刺条件,例如施加到针上的力。因此,本研究的目的是开发一种新颖的规划方法,以确定各种穿刺点的直针插入的鲁棒路径。这种计划方法的基本思想是考虑穿刺情况的概率并评估针头放置精度的期望值。首先,介绍了一种基于概率的穿刺条件,然后定义了针放置精度的期望值。接下来,开发了一种优化方法来以最小化针头放置精度预期值的方式搜索插入路径。然后,使用肝脏形状的2D模型对规划方法进行了数值模拟和评估。此外,还进行了一项体外实验,从最优化的路径测量针头放置的准确性。实验结果表明,该规划方法可以实现平均1.5mm的针插入。

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