Augmented reality in neurosurgical navigation: a survey

Autor: Jun Zhang, Yongshang Tai, Lei Wei, Junjun Pan, Tao Liu, Junsheng Shi, Chengming Zhao
Rok vydání: 2020
Předmět:
Zdroj: The international journal of medical robotics + computer assisted surgery : MRCAS.
ISSN: 1478-596X
Popis: Background Neurosurgery has exceptionally high requirements for minimally invasive and safety. This survey attempts to analyze the practical application of AR in neurosurgical navigation. Also, this survey describes future trends in augmented reality neurosurgical navigation systems. Methods In this survey, we searched related keywords "augmented reality", "virtual reality", "neurosurgery", "surgical simulation", "brain tumor surgery", "neurovascular surgery", "temporal bone surgery", and "spinal surgery" through Google Scholar, World Neurosurgery, PubMed and Science Direct. We collected 85 articles published over the past five years in areas related to this survey. Results Detailed study has been conducted on the application of AR in neurosurgery and found that AR is constantly improving the overall efficiency of doctor training and treatment, which can help neurosurgeons learn and practice surgical procedures with zero risks. Conclusions Neurosurgical navigation is essential in neurosurgery. Despite certain technical limitations, it is still a necessary tool for the pursuit of maximum security and minimal intrusiveness. This article is protected by copyright. All rights reserved.
Databáze: OpenAIRE