A novel rotational matrix and translation vector algorithm: Geometric accuracy for augmented reality in oral and maxillofacial surgeries

Yahini Prabha Murugesan, Abeer Alsadoon, Paul Manoranjan, P. W.C. Prasad

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Background: Augmented reality-based surgeries have not been successfully implemented in oral and maxillofacial areas due to limitations in geometric accuracy and image registration. This paper aims to improve the accuracy and depth perception of the augmented video. Methodology: The proposed system consists of a rotational matrix and translation vector algorithm to reduce the geometric error and improve the depth perception by including 2 stereo cameras and a translucent mirror in the operating room. Results: The results on the mandible/maxilla area show that the new algorithm improves the video accuracy by 0.30-0.40 mm (in terms of overlay error) and the processing rate to 10-13 frames/s compared to 7-10 frames/s in existing systems. The depth perception increased by 90-100 mm. Conclusion: The proposed system concentrates on reducing the geometric error. Thus, this study provides an acceptable range of accuracy with a shorter operating time, which provides surgeons with a smooth surgical flow.
Original languageEnglish
Article numbere1889
Pages (from-to)1-14
Number of pages14
JournalInternational Journal of Medical Robotics and Computer Assisted Surgery
Volume14
Issue number3
Early online dateFeb 2018
DOIs
Publication statusPublished - Jun 2018

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