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肺部可操纵针轨迹跟踪:扭转死区补偿以及通过柔性内窥镜的针的五自由度反馈全姿态估计

STEERABLE NEEDLE TRAJECTORY FOLLOWING IN THE LUNG: TORSIONAL DEADBAND COMPENSATION AND FULL POSE ESTIMATION WITH 5DOF FEEDBACK FOR NEEDLES PASSING THROUGH FLEXIBLE ENDOSCOPES.

作者信息

Ertop Tayfun Efe, Emerson Maxwell, Rox Margaret, Granna Josephine, Maldonado Fabien, Gillaspie Erin, Lester Michael, Kuntz Alan, Rucker Caleb, Fu Mengyu, Hoelscher Janine, Fried Inbar, Alterovitz Ron, Webster Robert

机构信息

Department of Mechanical Engineering, Vanderbilt University, Nashville, TN 37212.

Vanderbilt University Medical Center, Nashville, TN 37212.

出版信息

Proc ASME Dyn Syst Control Conf. 2020 Oct;2020. doi: 10.1115/DSCC2020-3163.

Abstract

Bronchoscopic diagnosis and intervention in the lung is a new frontier for steerable needles, where they have the potential to enable minimally invasive, accurate access to small nodules that cannot be reliably accessed today. However, the curved, flexible bronchoscope requires a much longer needle than prior work has considered, with complex interactions between the needle and bronchoscope channel, introducing new challenges in steerable needle control. In particular, friction between the working channel and needle causes torsional windup along the bronchoscope, the effects of which cannot be directly measured at the tip of thin needles embedded with 5 degree-of-freedom magnetic tracking coils. To compensate for these effects, we propose a new torsional deadband-aware Extended Kalman Filter to estimate the full needle tip pose including the axial angle, which defines its steering direction. We use the Kalman Filter estimates with an established sliding mode controller to steer along desired trajectories in lung tissue. We demonstrate that this simple torsional deadband model is sufficient to account for the complex interactions between the needle and endoscope channel for control purposes. We measure mean final targeting error of 1.36 mm in phantom tissue and 1.84 mm in ex-vivo porcine lung, with mean trajectory following error of 1.28 mm and 1.10 mm, respectively.

摘要

可操纵针在肺部的支气管镜诊断和干预是一个新的前沿领域,在这个领域中,它们有可能实现对如今无法可靠触及的小结节进行微创、精准的穿刺。然而,弯曲的柔性支气管镜需要的针比以往研究中考虑的要长得多,针与支气管镜通道之间存在复杂的相互作用,给可操纵针的控制带来了新的挑战。特别是,工作通道与针之间的摩擦力会导致沿支气管镜产生扭转缠绕,而对于嵌入5自由度磁跟踪线圈的细针,其尖端无法直接测量这种缠绕的影响。为了补偿这些影响,我们提出了一种新的考虑扭转死区的扩展卡尔曼滤波器,以估计包括轴向角度在内的整个针尖姿态,轴向角度定义了针的转向方向。我们将卡尔曼滤波器的估计值与已建立的滑模控制器相结合,以在肺组织中沿着期望轨迹进行操纵。我们证明,这个简单的扭转死区模型足以在控制中考虑针与内窥镜通道之间的复杂相互作用。我们在模拟组织中测得的最终平均靶向误差为1.36毫米,在离体猪肺中为1.84毫米,平均轨迹跟踪误差分别为1.28毫米和1.10毫米。

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本文引用的文献

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Sliding Mode Control of Steerable Needles.可控针的滑模控制
IEEE Trans Robot. 2013 Oct;29(5):1289-1299. doi: 10.1109/TRO.2013.2271098.
8
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IEEE Trans Biomed Eng. 2014 Nov;61(11):2707-17. doi: 10.1109/TBME.2014.2326161. Epub 2014 May 21.

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