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Remote Surgeon Hand Motion and Occlusion Removal in Mixed Reality in Breast Surgical Telepresence: Rural and Remote Care

机译:远程外科医生手动和闭塞去除混合现实中的乳房外科徒劳度:农村和远程护理

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摘要

Mixed reality in surgical telepresence has not been practically implemented as yet and research done, until now, is only theoretical. Aiming to implement a proposed new solution by merging virtual and augmented realities and bringing about improvements by removing occlusion and the noise caused by hand motions during surgery. The proposed system consists of an extended Camshift algorithm for the detection of the remote expert surgeon's hand during surgery and enhancement of an image synthesization algorithm to remove the occlusion by including two Red-Green-Blue-Depth (RGBD) cameras. The experimental results from 10 breast samples reduce the average accuracy error of the video frame image overlay from 1.44 mm to 1.28 mm with average processing time enhanced to 76 sec compared to the state-of-the-art method. The proposed system provides a satisfactory outcome in terms of accuracy and operating time, which allows surgeons in local and remote sites to collaborate more effectively.
机译:外科讲述的混合现实尚未实际实施,并在现在的研究中进行了研究,只是理论上。旨在通过合并虚拟和增强现实并通过移除手术期间手动运动引起的遮挡和噪音来实现提出的新解决方案。所提出的系统包括一个扩展的凸轮扫描算法,用于在手术期间检测远程专家外科医生的手和图像合成算法的增强,通过包括两个红绿深度(RGBD)摄像机去除遮挡。来自10个乳房样品的实验结果降低了视频帧图像的平均精度误差从1.44 mm到1.28 mm,与最先进的方法相比,平均处理时间增强至76秒。拟议的系统在准确性和操作时间方面提供了令人满意的结果,允许本地和远程站点的外科医生更有效地协作。

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