基于光学跟踪信息的经颅聚焦超声手术患者特异性声学模拟

Michelle K. Sigona;Thomas J. Manuel;M. Anthony Phipps;Kianoush Banaie Boroujeni;Robert Louie Treuting;Thilo Womelsdorf;Charles F. Caskey
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引用次数: 0

摘要

光学跟踪是一种实时换能器定位方法,用于经颅聚焦超声(tFUS)手术,但光学跟踪的预测焦点通常不包含受试者特定的头骨信息。声学模拟可以估计通过头盖骨传播时的压力场,但依赖于在模拟空间中精确复制换能器和头盖骨的位置。在这里,我们开发并描述了工作流程的准确性,该工作流程基于神经导航幻影中的光学跟踪信息创建仿真网格,并通过离体颅骨帽进行传输。软件管道可以在光学跟踪系统的限制内复制tFUS过程的几何形状(经颅目标配准误差(TRE): 3.9±0.7 mm)。模拟焦点和光学跟踪预测的自由场焦点对幻影和头盖骨的欧氏距离误差分别为0.5±0.1和1.2±0.4 mm,并且模拟捕获了一些头骨特异性效应。然而,通过光学跟踪获得的模拟TRE为4.6±0.2,与许多tFUS系统使用的焦斑尺寸一样大或更大。通过使用原始的TRE偏移量更新换能器的位置,我们将模拟的TRE减小到1.1±0.4 mm。我们的研究描述了一个用于治疗计划的软件管道,评估了其准确性,并展示了一种使用核磁共振声辐射力成像作为改进剂量学的方法。总的来说,我们的软件管道有助于估计声暴露,我们的研究强调了需要图像反馈来提高tFUS剂量测定的准确性。
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Generating Patient-Specific Acoustic Simulations for Transcranial Focused Ultrasound Procedures Based on Optical Tracking Information
Optical tracking is a real-time transducer positioning method for transcranial focused ultrasound (tFUS) procedures, but the predicted focus from optical tracking typically does not incorporate subject-specific skull information. Acoustic simulations can estimate the pressure field when propagating through the cranium but rely on accurately replicating the positioning of the transducer and skull in a simulated space. Here, we develop and characterize the accuracy of a workflow that creates simulation grids based on optical tracking information in a neuronavigated phantom with and without transmission through an ex vivo skull cap. The software pipeline could replicate the geometry of the tFUS procedure within the limits of the optical tracking system (transcranial target registration error (TRE): 3.9 ± 0.7 mm). The simulated focus and the free-field focus predicted by optical tracking had low Euclidean distance errors of 0.5 ± 0.1 and 1.2 ± 0.4 mm for phantom and skull cap, respectively, and some skull-specific effects were captured by the simulation. However, the TRE of simulation informed by optical tracking was 4.6 ± 0.2, which is as large or greater than the focal spot size used by many tFUS systems. By updating the position of the transducer using the original TRE offset, we reduced the simulated TRE to 1.1 ± 0.4 mm. Our study describes a software pipeline for treatment planning, evaluates its accuracy, and demonstrates an approach using MR-acoustic radiation force imaging as a method to improve dosimetry. Overall, our software pipeline helps estimate acoustic exposure, and our study highlights the need for image feedback to increase the accuracy of tFUS dosimetry.
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