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Planning active cannula configurations through tubular anatomy

机译:通过管状解剖计划活动插管配置

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Medical procedures such as lung biopsy and brachytherapy require maneuvering through tubular structures such as the trachea and bronchi to reach clinical targets. We introduce a new method to plan configurations for active cannulas, medical devices composed of thin, pre-curved, telescoping lumens that are capable of following controlled, curved paths through open or liquid-filled cavities. Planning optimal configurations for these devices is challenging due to their complex kinematics, which involve both beam mechanics and space curves. In this paper, we propose an optimization-based planning algorithm that computes active cannula configurations through tubular structures that reach specified targets. Given the target location, the start position and orientation, and a geometric representation of the physical environment extracted from pre-procedure medical images, the planner optimizes insertion length and orientation angle of each lumen of the active cannula. The planner models active cannula kinematics using a physically-based simulation that incorporates beam mechanics and minimizes energy. The algorithm typically computes plans in less than 2 minutes on a standard PC. We apply the method in simulation to anatomy extracted from a human CT scan and demonstrate configurations for a 5-lumen active cannula that maneuver it through the bronchi to targets in the lung.
机译:诸如肺活检和近距离放射治疗之类的医疗程序需要通过诸如气管和支气管之类的管状结构进行操纵,以达到临床目标。我们引入了一种新的方法来规划有源插管的配置,该插管由薄的,预弯曲的,可伸缩的内腔组成的医疗设备,能够通过开放的或充满液体的空腔遵循受控的弯曲路径。由于它们复杂的运动学,涉及光束力学和空间曲线,因此规划这些设备的最佳配置具有挑战性。在本文中,我们提出了一种基于优化的计划算法,该算法可通过达到指定目标的管状结构来计算活动插管的配置。给定目标位置,起始位置和方向以及从术前医学图像中提取的物理环境的几何表示,计划器可以优化活动套管每个内腔的插入长度和方向角度。计划者使用基于物理的模拟方法对主动插管运动进行建模,该模拟方法结合了射束力学并最大程度地减少了能量。该算法通常在标准PC上不到2分钟即可计算计划。我们将这种方法应用于从人体CT扫描中提取的解剖结构,并演示了5腔活动插管的配置,该插管通过支气管操纵它到达了肺部目标。

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