Kersten-Oertel Marta, Chen Sean S J, Drouin Simon, Sinclair David S, Collins D Louis
Department of Biomedical Engineering, McGill University.
Stud Health Technol Inform. 2012;173:225-9.
In neurovascular surgery, and in particular surgery for arteriovenous malformations (AVMs), the surgeon maps pre-operative images to the patient on the operating table to aid in vessel localization and resection. This type of spatial mapping is not trivial, is time consuming, and may be prone to error. Using augmented reality (AR) we can register the microscope/camera image of the patient to pre-operative data in order to help the surgeon better understand the topology and locations of vessels that lie below the visible surface of the cortex. In this work we describe a prototype system, developed using open source software and built with off-the-shelf hardware, for AR visualization for AVM neurosurgery. Furthermore, we consider two visualization techniques, colour-coding and chromadepth, to enhance the depth perception of vessels.
在神经血管外科手术中,尤其是在动静脉畸形(AVM)手术中,外科医生会将术前图像映射到手术台上的患者身上,以辅助血管定位和切除。这种空间映射并非易事,耗时且可能容易出错。使用增强现实(AR)技术,我们可以将患者的显微镜/相机图像与术前数据进行配准,以帮助外科医生更好地理解位于皮质可见表面下方的血管的拓扑结构和位置。在这项工作中,我们描述了一个使用开源软件开发并采用现成硬件构建的原型系统,用于AVM神经外科手术的AR可视化。此外,我们考虑了两种可视化技术,即颜色编码和色差深度,以增强血管的深度感知。