一种新型旋转矩阵和平移向量算法：口腔颌面外科手术中增强现实的几何精度
A novel rotational matrix and translation vector algorithm: geometric accuracy for augmented reality in oral and maxillofacial surgeries.
作者信息
Murugesan Yahini Prabha, Alsadoon Abeer, Manoranjan Paul, Prasad P W C
机构信息
School of Computing and Mathematics, Charles Sturt University, Sydney, Australia.
School of Computing and Mathematics, Charles Sturt University, Bathurst, Australia.
出版信息
Int J Med Robot. 2018 Jun;14(3):e1889. doi: 10.1002/rcs.1889. Epub 2018 Feb 19.
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.
背景
由于几何精度和图像配准方面的限制，基于增强现实的手术尚未在口腔颌面区域成功实施。本文旨在提高增强视频的准确性和深度感知。
方法
所提出的系统由一个旋转矩阵和平移向量算法组成，通过在手术室中加入2个立体摄像头和一个半透明镜子来减少几何误差并提高深度感知。
结果
在下颌骨/上颌骨区域的结果表明，与现有系统的7 - 10帧/秒相比，新算法将视频精度提高了0.30 - 0.40毫米（就叠加误差而言），处理速率提高到10 - 13帧/秒。深度感知增加了90 - 100毫米。
结论
所提出的系统专注于减少几何误差。因此，本研究提供了可接受的精度范围，且手术时间更短，为外科医生提供了顺畅的手术流程。
Zotero 插件