Saurabh Jain, Seunghan Lee, Samuel R. Barber, Eugene H Chang, Y. Son
{"title":"Virtual reality based hybrid simulation for functional endoscopic sinus surgery","authors":"Saurabh Jain, Seunghan Lee, Samuel R. Barber, Eugene H Chang, Y. Son","doi":"10.1080/24725579.2019.1692263","DOIUrl":null,"url":null,"abstract":"Abstract Advances in Virtual Reality (VR) technology warrants the improvement of the training system to replicate surgical procedures. The VR-based training system has proved to be useful for surgical training by decreasing operative time and increasing patient safety. For example, Functional Endoscopic Sinus Surgery (FESS) is challenging due to the confined operating space surrounded by critical structures such as the eye, brain, and major blood vessels. Image-guided surgery in FESS enables the use of real-time navigation of surgical instruments to preoperative imaging. This paper demonstrates the development of a surgical simulator which facilitates trainees in three-fold. First, the identification and segmentation of critical structures in head and neck become achievable through the VR-based simulator. Second, the simulator supports to rehearse the surgical steps on a model of patient-specific anatomy. Finally, experiencing VR cues during surgical training facilitates faster recognition of anatomical landmarks. Standard computed tomography (CT) medical imaging data were utilized to develop a VR-based hybrid simulation. The validation study reveals that haptic feedback and visual/audio cues in the simulator supports the enhancement of operational accuracy and efficiency. Moreover, the proposed system works as a training tool, which will reduce patient morbidity and mortality.","PeriodicalId":37744,"journal":{"name":"IISE Transactions on Healthcare Systems Engineering","volume":"10 1","pages":"127 - 141"},"PeriodicalIF":1.5000,"publicationDate":"2020-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/24725579.2019.1692263","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IISE Transactions on Healthcare Systems Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/24725579.2019.1692263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 9
Abstract
Abstract Advances in Virtual Reality (VR) technology warrants the improvement of the training system to replicate surgical procedures. The VR-based training system has proved to be useful for surgical training by decreasing operative time and increasing patient safety. For example, Functional Endoscopic Sinus Surgery (FESS) is challenging due to the confined operating space surrounded by critical structures such as the eye, brain, and major blood vessels. Image-guided surgery in FESS enables the use of real-time navigation of surgical instruments to preoperative imaging. This paper demonstrates the development of a surgical simulator which facilitates trainees in three-fold. First, the identification and segmentation of critical structures in head and neck become achievable through the VR-based simulator. Second, the simulator supports to rehearse the surgical steps on a model of patient-specific anatomy. Finally, experiencing VR cues during surgical training facilitates faster recognition of anatomical landmarks. Standard computed tomography (CT) medical imaging data were utilized to develop a VR-based hybrid simulation. The validation study reveals that haptic feedback and visual/audio cues in the simulator supports the enhancement of operational accuracy and efficiency. Moreover, the proposed system works as a training tool, which will reduce patient morbidity and mortality.
期刊介绍:
IISE Transactions on Healthcare Systems Engineering aims to foster the healthcare systems community by publishing high quality papers that have a strong methodological focus and direct applicability to healthcare systems. Published quarterly, the journal supports research that explores: · Healthcare Operations Management · Medical Decision Making · Socio-Technical Systems Analysis related to healthcare · Quality Engineering · Healthcare Informatics · Healthcare Policy We are looking forward to accepting submissions that document the development and use of industrial and systems engineering tools and techniques including: · Healthcare operations research · Healthcare statistics · Healthcare information systems · Healthcare work measurement · Human factors/ergonomics applied to healthcare systems Research that explores the integration of these tools and techniques with those from other engineering and medical disciplines are also featured. We encourage the submission of clinical notes, or practice notes, to show the impact of contributions that will be published. We also encourage authors to collect an impact statement from their clinical partners to show the impact of research in the clinical practices.