Journal
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY
Volume 14, Issue 3, Pages -Publisher
WILEY
DOI: 10.1002/rcs.1889
Keywords
3D image; 3D-2D image registration; augmented reality; image matching; oral and maxillofacial surgery
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Funding
- Charles Sturt University, Sydney, Australia
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BackgroundAugmented 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. MethodologyThe 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. ResultsThe results on the mandible/maxilla area show that the new algorithm improves the video accuracy by 0.30-0.40mm (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 90-100mm. ConclusionThe 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.
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