Department of Bioengineering, Washington National Primate Research Center, University of Washington.
Department of Electrical and Computer Engineering, Washington National Primate Research Center, University of Washington.
J Vis Exp. 2024 Feb 9(204). doi: 10.3791/66167.
This paper describes an in-house method of 3D brain and skull modeling from magnetic resonance imaging (MRI) tailored for nonhuman primate (NHP) neurosurgical planning. This automated, computational software-based technique provides an efficient way of extracting brain and skull features from MRI files as opposed to traditional manual extraction techniques using imaging software. Furthermore, the procedure provides a method for visualizing the brain and craniotomized skull together for intuitive, virtual surgical planning. This generates a drastic reduction in time and resources from those required by past work, which relied on iterative 3D printing. The skull modeling process creates a footprint that is exported into modeling software to design custom-fit cranial chambers and headposts for surgical implantation. Custom-fit surgical implants minimize gaps between the implant and the skull that could introduce complications, including infection or decreased stability. By implementing these pre-surgical steps, surgical and experimental complications are reduced. These techniques can be adapted for other surgical processes, facilitating more efficient and effective experimental planning for researchers and, potentially, neurosurgeons.
本文描述了一种内部方法,用于从磁共振成像 (MRI) 中为非人类灵长类动物 (NHP) 神经外科手术规划定制 3D 大脑和颅骨建模。与使用成像软件的传统手动提取技术相比,这种自动化、基于计算软件的技术为从 MRI 文件中提取大脑和颅骨特征提供了一种高效的方法。此外,该过程还提供了一种将大脑和开颅颅骨一起可视化的方法,用于直观的虚拟手术规划。与过去依赖迭代 3D 打印的工作相比,这大大减少了时间和资源的投入。颅骨建模过程会创建一个足迹,然后将其导出到建模软件中,以设计适合手术植入的定制颅骨腔和头钉。定制的手术植入物最大限度地减少了植入物和颅骨之间的间隙,这些间隙可能会导致感染或稳定性降低等并发症。通过实施这些术前步骤,可以减少手术和实验并发症。这些技术可以适应其他手术过程,为研究人员甚至可能为神经外科医生提供更高效、有效的实验规划。