NeuroPlan: mri兼容立体定向神经外科机器人的手术计划工具包。

Farid Tavakkolmoghaddam, Dhruv Kool Rajamani, Benjamin Szewczyk, Zhanyue Zhao, Katie Gandomi, Shreyas Chandra Sekhar, Julie Pilitsis, Christopher Nycz, Gregory Fischer
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引用次数: 2

摘要

采用机器人图像引导手术使医生能够以更小的侵入性和更高的准确性进行治疗和诊断过程。一个例子是mri引导的立体定向机器人辅助手术,用于适形脑肿瘤消融,其中机器人用于定位和定向薄探针,以瞄准大脑内所需的区域。诸如远程运动中心和精确操作等要求,强制使用复杂的运动学结构,这导致这些机器人的工作空间不平凡。在手术计划和导航阶段,缺乏可视化的工作空间对选择有效的进入点和目标点提出了挑战。在本文中,我们提出了一个名为“NeuroPlan”的手术计划工具包,用于我们的mri兼容立体定向神经外科机器人,作为3D切片器软件的模块开发。该工具包通过在MRI图像上渲染和覆盖机器人可到达的工作空间,简化了当前的手术工作流程。它还有助于通过分割颅骨毛刺孔体积和定位其中心来确定最佳切入点。我们通过从先前进行的动物研究中获得的幻影和核磁共振图像证明了工作空间渲染和毛刺孔参数检测的准确性。
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NeuroPlan: A Surgical Planning Toolkit for an MRI-Compatible Stereotactic Neurosurgery Robot.

The adoption of robotic image-guided surgeries has enabled physicians to perform therapeutic and diagnostic procedures with less invasiveness and higher accuracy. One example is the MRI-guided stereotactic robotic-assisted surgery for conformal brain tumor ablation, where the robot is used to position and orient a thin probe to target a desired region within the brain. Requirements such as the remote center of motion and precise manipulation, impose the use of complex kinematic structures, which result in non-trivial workspaces in these robots. The lack of workspace visualization poses a challenge in selecting valid entry and target points during the surgical planning and navigation stage. In this paper, we present a surgical planning toolkit called the "NeuroPlan" for our MRI-compatible stereotactic neurosurgery robot developed as a module for 3D Slicer software. This toolkit streamlines the current surgical workflow by rendering and overlaying the robot's reachable workspace on the MRI image. It also assists with identifying the optimal entry point by segmenting the cranial burr hole volume and locating its center. We demonstrate the accuracy of the workspace rendering and burr hole parameter detection through both phantom and MR-images acquired from previously conducted animal studies.

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