A novel augmented reality (AR) scheme for knee replacement surgery by considering cutting error accuracy

Background Augmented reality (AR) surgery has not been successfully implemented in knee replacement surgery due to the negative effect of cutting errors. This research aims to decrease the cutting error to reduce the chronic pain after knee replacement. Methodology The proposed system consists of a volume subtraction technique that considers the history of the area that has been cut and measures it against the target shape. Results Results minimized the cutting error by about 1 mm. Therefore, it provides a significant video accuracy improvement in alignment to 0.40 to 0.55 mm from 0.55 to 0.64 and a decrease in processing time from 12 to 13 fs/s to 9 to10 fs/s. Conclusion The proposed system is focused on overlaying only the remaining areas of surgery that need to be completed. Finally, this study solves the issues of navigation with AR when cutting bones in a scheduled direction and depth.