Department of Neurosurgery, the Uni-versity of Tokyo Graduate School of Medicine, Tokyo, Japan.
Department of Clinical Information Engineering, the University of Tokyo Graduate School of Medicine, Tokyo, Japan.
Oper Neurosurg (Hagerstown). 2018 May 1;14(5):579-589. doi: 10.1093/ons/opx155.
BACKGROUND: A virtual reality simulator for aneurysmal clipping surgery is an attractive research target for neurosurgeons. Brain deformation is one of the most important functionalities necessary for an accurate clipping simulator and is vastly affected by the status of the supporting tissue, such as the arachnoid membrane. However, no virtual reality simulator implementing the supporting tissue of the brain has yet been developed. OBJECTIVE: To develop a virtual reality clipping simulator possessing interactive brain deforming capability closely dependent on arachnoid dissection and apply it to clinical cases. METHODS: Three-dimensional computer graphics models of cerebral tissue and surrounding structures were extracted from medical images. We developed a new method for modifiable cerebral tissue complex deformation by incorporating a nonmedical image-derived virtual arachnoid/trabecula in a process called multitissue integrated interactive deformation (MTIID). MTIID made it possible for cerebral tissue complexes to selectively deform at the site of dissection. Simulations for 8 cases of actual clipping surgery were performed before surgery and evaluated for their usefulness in surgical approach planning. RESULTS: Preoperatively, each operative field was precisely reproduced and visualized with the virtual brain retraction defined by users. The clear visualization of the optimal approach to treating the aneurysm via an appropriate arachnoid incision was possible with MTIID. CONCLUSION: A virtual clipping simulator mainly focusing on supporting tissues and less on physical properties seemed to be useful in the surgical simulation of cerebral aneurysm clipping. To our knowledge, this article is the first to report brain deformation based on supporting tissues.
背景:用于颅内动脉瘤夹闭手术的虚拟现实模拟器是神经外科医生的一个有吸引力的研究目标。脑变形是准确夹闭模拟器所必需的最重要功能之一,它受到支持组织(如蛛网膜)状态的极大影响。然而,目前还没有开发出实现脑支持组织的虚拟现实模拟器。
目的:开发一种具有紧密依赖于蛛网膜解剖的交互式脑变形能力的虚拟现实夹闭模拟器,并将其应用于临床病例。
方法:从医学图像中提取脑组织和周围结构的三维计算机图形模型。我们开发了一种新的可修改脑组织复杂变形方法,通过在称为多组织集成交互式变形(MTIID)的过程中纳入非医学图像衍生的虚拟蛛网膜/小梁,使脑组织复合体能够在解剖部位选择性地变形。在手术前对 8 例实际夹闭手术进行了模拟,并评估了其在手术入路规划中的有用性。
结果:术前,用户定义的虚拟脑牵拉术精确地再现和可视化了每个手术区域。通过 MTIID 可以清晰地可视化通过适当的蛛网膜切开术治疗动脉瘤的最佳手术入路。
结论:主要关注支持组织而非物理特性的虚拟夹闭模拟器似乎在脑动脉瘤夹闭手术模拟中有用。据我们所知,本文首次报道了基于支持组织的脑变形。
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