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医療ロボティクスarXiv:2101.02246

針軸-組織間力モデルによる操舵可能針の安全な動作計画

Safer Motion Planning of Steerable Needles via a Shaft-to-Tissue Force Model

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Cosserat弦理論に基づく針軸と組織の力モデルを構築し、計画経路の組織への垂直力・摩擦力を評価する新たなコスト関数を提案。数百の3D環境で検証し、従来の経路長コスト比で平均長さ0.07%増のみでピーク組織力を62%削減した。

著者: Michael Bentley, Caleb Rucker, Chakravarthy Reddy, Oren Salzman, Alan Kuntz

分類: cs.RO

原文アブストラクト

Steerable needles are capable of accurately targeting difficult-to-reach clinical sites in the body. By bending around sensitive anatomical structures, steerable needles have the potential to reduce the invasiveness of many medical procedures. However, inserting these needles with curved trajectories increases the risk of tissue damage due to perpendicular forces exerted on the surrounding tissue by the needle's shaft, potentially resulting in lateral shearing through tissue. Such forces can cause significant damage to surrounding tissue, negatively affecting patient outcomes. In this work, we derive a tissue and needle force model based on a Cosserat string formulation, which describes the normal forces and frictional forces along the shaft as a function of the planned needle path, friction model and parameters, and tip piercing force. We propose this new force model and associated cost function as a safer and more clinically relevant metric than those currently used in motion planning for steerable needles. We fit and validate our model through physical needle robot experiments in a gel phantom. We use this force model to define a bottleneck cost function for motion planning and evaluate it against the commonly used path-length cost function in hundreds of randomly generated 3-D environments. Plans generated with our force-based cost show a 62% reduction in the peak modeled tissue force with only a 0.07% increase in length on average compared to using the path-length cost in planning. Additionally, we demonstrate the ability to plan motions with our force-based cost function in a lung tumor biopsy scenario from a segmented computed tomography (CT) scan. By planning motions for the needle that aim to minimize the modeled needle-to-tissue force explicitly, our method plans needle paths that may reduce the risk of significant tissue damage while still reaching desired targets in the body.

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