Spiegler Pascal, Abdelsalam Haitham, Hellum Owen, Hadjinicolaou Aristides, Weil Alexander G, Xiao Yiming
Department of Computer Science and Software Engineering, Concordia University, Montreal, Québec Canada.
Department of Pediatrics, Division of Neurology, Sainte-Justine University Hospital Center, Montreal, Québec Canada.
Virtual Real. 2025;29(1):13. doi: 10.1007/s10055-024-01088-8. Epub 2024 Dec 26.
Epilepsy is a neurological disorder characterized by recurring seizures that can cause a wide range of symptoms. Stereo-electroencephalography (SEEG) is a diagnostic procedure where multiple electrodes are stereotactically implanted within predefined brain regions to identify the seizure onset zone, which needs to be surgically removed or disconnected to achieve remission of focal epilepsy. This procedure is complex and challenging due to two main reasons. First, as electrode placement requires good accuracy in desired brain regions, excellent knowledge and understanding of the 3D brain anatomy is required. Second, as typically multiple SEEG electrodes need to be implanted, the positioning of intracerebral electrodes must avoid critical structures (e.g., blood vessels) to ensure patient safety. Traditional SEEG surgical planning relies on 2D display of multi-contrast volumetric medical imaging data, and places a high cognitive demand for surgeons' spatial understanding, resulting in potentially sub-optimal surgical plans and extensive planning time (~ 15 min per electrode). In contrast, virtual reality (VR) presents an intuitive and immersive approach that can offer more intuitive visualization of 3D data as well as potentially enhanced efficiency for neurosurgical planning. Unfortunately, existing VR systems for SEEG surgery only focus on the visualization of post-surgical scans to confirm electrode placement. To address the need, we introduce the first VR system for SEEG planning that integrates user-friendly and efficient visualization and interaction strategies while providing real-time feedback metrics, including distances to nearest blood vessels, angles of insertion, and the overall surgical quality scores. The system reduces the surgical planning time by 91%.
癫痫是一种神经系统疾病,其特征是反复发作的癫痫发作,可导致多种症状。立体脑电图(SEEG)是一种诊断程序,通过立体定向将多个电极植入预先定义的脑区,以确定癫痫发作起始区,为实现局灶性癫痫缓解,该区域需要手术切除或切断。由于两个主要原因,这个过程复杂且具有挑战性。首先,由于电极放置需要在期望的脑区具有良好的准确性,因此需要对三维脑解剖结构有出色的了解。其次,由于通常需要植入多个SEEG电极,脑内电极的定位必须避开关键结构(如血管)以确保患者安全。传统的SEEG手术规划依赖于多对比度容积医学成像数据的二维显示,对外科医生的空间理解提出了很高的认知要求,导致手术规划可能不是最优的,且规划时间较长(每个电极约15分钟)。相比之下,虚拟现实(VR)提供了一种直观且身临其境的方法,可以更直观地可视化三维数据,并可能提高神经外科手术规划的效率。不幸的是,现有的用于SEEG手术的VR系统仅专注于术后扫描的可视化以确认电极放置。为满足这一需求,我们推出了首个用于SEEG规划的VR系统,该系统集成了用户友好且高效的可视化和交互策略,同时提供实时反馈指标,包括到最近血管的距离、插入角度和整体手术质量评分。该系统将手术规划时间减少了91%。