{"title":"Augmented Reality Navigation in Spine Surgery","authors":"R. Huang, Angelika Maag, Moshiur Bhuiyan","doi":"10.1109/CITISIA50690.2020.9371792","DOIUrl":null,"url":null,"abstract":"Spine has several complicated joints and nerves that need to look after well during the surgery procedure. Spine surgery in some ways easily creates scoliosis, degenerative disc disease, spinal stability problem. All these procedures need highly skilled operators with a specific program. The previous traditional program has, unfortunately, plenty of variations in image registration over precision rate and technical issues. As the technical problem, human mistakes, and shortage of standard equipment happen widely, the aim of this research is to increase the surgeon’s efficiency in navigation location assurance and to decrease the exposure of radiation for patients and operators. This study is a review-based approach. A variety of methods are applied to evaluate the different works conducted across the similar circumstances. 30 state of the art publications are categorised to elaborate and further elaborate the utility of the Augmented Reality (AR) navigation system in spine surgery. The criterions recognised for verifying AR navigation in spine surgery are system recognition, system comparison and its robustness. This paper will provide an analysis of the navigation systems methodology to spine surgery by Augmented Reality in present studies and propose an improved navigation framework that emphasises the characteristics and effectiveness of AR in regard of accuracy, radiation exposure and reliability in surgery compared to the present surgical procedure.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITISIA50690.2020.9371792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Spine has several complicated joints and nerves that need to look after well during the surgery procedure. Spine surgery in some ways easily creates scoliosis, degenerative disc disease, spinal stability problem. All these procedures need highly skilled operators with a specific program. The previous traditional program has, unfortunately, plenty of variations in image registration over precision rate and technical issues. As the technical problem, human mistakes, and shortage of standard equipment happen widely, the aim of this research is to increase the surgeon’s efficiency in navigation location assurance and to decrease the exposure of radiation for patients and operators. This study is a review-based approach. A variety of methods are applied to evaluate the different works conducted across the similar circumstances. 30 state of the art publications are categorised to elaborate and further elaborate the utility of the Augmented Reality (AR) navigation system in spine surgery. The criterions recognised for verifying AR navigation in spine surgery are system recognition, system comparison and its robustness. This paper will provide an analysis of the navigation systems methodology to spine surgery by Augmented Reality in present studies and propose an improved navigation framework that emphasises the characteristics and effectiveness of AR in regard of accuracy, radiation exposure and reliability in surgery compared to the present surgical procedure.