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

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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.
Original languageEnglish
Article numbere1958
Pages (from-to)1-15
Number of pages15
JournalInternational Journal of Medical Robotics and Computer Assisted Surgery
Volume15
Issue number1
Early online date15 Sep 2018
DOIs
Publication statusPublished - Feb 2019

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Knee prostheses
Augmented reality
Surgery
Knee
Subtraction Technique
Chronic Pain
History
Bone and Bones
Bone
Navigation
Research
Processing

Cite this

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title = "A novel augmented reality (AR) scheme for knee replacement surgery by considering cutting error accuracy",
abstract = "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.",
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AU - Paul, Manoranjan

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