OBJECT: An augmented reality system has been developed for image-guided neurosurgery to project images with regions of interest onto the patient's head, skull, or brain surface in real time. The aim of this study was to evaluate system accuracy and to perform the first intraoperative application. METHODS: Images of segmented brain tumors in different localizations and sizes were created in 10 cases and were projected to a head phantom using a video projector. Registration was performed using 5 fiducial markers. After each registration, the distance of the 5 fiducial markers from the visualized tumor borders was measured on the virtual image and on the phantom. The difference was considered a projection error. Moreover, the image projection technique was intraoperatively applied in 5 patients and was compared with a standard navigation system. RESULTS: Augmented reality visualization of the tumors succeeded in all cases. The mean time for registration was 3.8 minutes (range 2-7 minutes). The mean projection error was 0.8 ± 0.25 mm. There were no significant differences in accuracy according to the localization and size of the tumor. Clinical feasibility and reliability of the augmented reality system could be proved intraoperatively in 5 patients (projection error 1.2 ± 0.54 mm). CONCLUSIONS: The augmented reality system is accurate and reliable for the intraoperative projection of images to the head, skull, and brain surface. The ergonomic advantage of this technique improves the planning of neurosurgical procedures and enables the surgeon to use direct visualization for image-guided neurosurgery.
OBJECT: An augmented reality system has been developed for image-guided neurosurgery to project images with regions of interest onto the patient's head, skull, or brain surface in real time. The aim of this study was to evaluate system accuracy and to perform the first intraoperative application. METHODS: Images of segmented brain tumors in different localizations and sizes were created in 10 cases and were projected to a head phantom using a video projector. Registration was performed using 5 fiducial markers. After each registration, the distance of the 5 fiducial markers from the visualized tumor borders was measured on the virtual image and on the phantom. The difference was considered a projection error. Moreover, the image projection technique was intraoperatively applied in 5 patients and was compared with a standard navigation system. RESULTS: Augmented reality visualization of the tumors succeeded in all cases. The mean time for registration was 3.8 minutes (range 2-7 minutes). The mean projection error was 0.8 ± 0.25 mm. There were no significant differences in accuracy according to the localization and size of the tumor. Clinical feasibility and reliability of the augmented reality system could be proved intraoperatively in 5 patients (projection error 1.2 ± 0.54 mm). CONCLUSIONS: The augmented reality system is accurate and reliable for the intraoperative projection of images to the head, skull, and brain surface. The ergonomic advantage of this technique improves the planning of neurosurgical procedures and enables the surgeon to use direct visualization for image-guided neurosurgery.
Entities:
Keywords:
HMD = head-mounted display; ROI = region of interest; augmented reality–guided neurosurgery; diagnostic and operative techniques; intraoperative application; neuronavigation; projection accuracy
Authors: Vivek P Buch; Kobina G Mensah-Brown; James W Germi; Brian J Park; Peter J Madsen; Austin J Borja; Debanjan Haldar; Patricia Basenfelder; Jang W Yoon; James M Schuster; Han-Chiao I Chen Journal: Surg Innov Date: 2020-12-31 Impact factor: 2.058
Authors: Ian J Gerard; Marta Kersten-Oertel; Simon Drouin; Jeffery A Hall; Kevin Petrecca; Dante De Nigris; Daniel A Di Giovanni; Tal Arbel; D Louis Collins Journal: J Med Imaging (Bellingham) Date: 2018-01-26
Authors: Rachel Hecht; Ming Li; Quirina M B de Ruiter; William F Pritchard; Xiaobai Li; Venkatesh Krishnasamy; Wael Saad; John W Karanian; Bradford J Wood Journal: Cardiovasc Intervent Radiol Date: 2020-01-08 Impact factor: 2.740