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Stereoscopic augmented reality for single camera endoscopy: a virtual study

机译:单相机内窥镜的立体增强现实:一项虚拟研究

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摘要

Endoscopic surgery causes less tissue injury compared to open surgical techniques, thus promoting more rapid recuperation and reduced post-operative pain. Endoscopy, however, allows the surgeon to visualise only the anatomical surface of the surgical site, with a relatively narrow field of view. Moreover, the 2D video captured by the conventional endoscope does not provide depth perception of the surgical scene. In this study, these limitations have been addressed with the development of an augmented reality (AR) system with stereoscopic visualisation. A phantom and its 3D CT model were used, respectively, to form the real and virtual parts of the AR. The virtual environment camera pose was tracked using algorithms for image feature detection, feature matching and Perspective-n-Point applied on the endoscopic image and the 3D virtual model-rendered image. The endoscope video frame- and the virtual model-rendered images were superimposed to form the AR composite view. The depth buffer (z-buffer) of the rendering window was further used to make a stereo pair of the AR image. The AR system produced a stereo composite view having well-aligned real and virtual components. The RMS error of the real and virtual image contours registration was 9.6 ± 6.7 mm. Correlation coefficients between the depth map from z-buffer and a depth camera was between 0.60 and 0.96 (p < 0.05).The AR system requires further improvement to be applicable at a higher frame rate of endoscope image acquisition. It also needs to include motion and deformation models when applied to animals or patients.
机译:与开放式手术技术相比,内窥镜手术对组织的伤害较小,从而促进了更快速的康复,并减轻了术后疼痛。然而,内窥镜检查仅允许外科医生以相对狭窄的视野看到手术部位的解剖表面。而且,由常规内窥镜捕获的2D视频不能提供对手术场景的深度感知。在这项研究中,这些局限性已经通过开发具有立体视觉效果的增强现实(AR)系统得以解决。分别使用了幻影及其3D CT模型来形成AR的真实和虚拟部分。使用用于图像特征检测,特征匹配和应用于内窥镜图像和3D虚拟模型渲染的图像的Perspective-n点算法跟踪虚拟环境相机的姿态。内窥镜视频帧和虚拟模型渲染的图像被叠加以形成AR复合视图。渲染窗口的深度缓冲区(z缓冲区)还用于制作AR图像的立体声对。 AR系统产生了立体合成视图,其中具有良好对齐的真实和虚拟组件。真实和虚拟图像轮廓配准的RMS误差为9.6±6.7 mm。 z缓冲区和深度相机的深度图之间的相关系数在0.60和0.96之间(p <0.05)。AR系统需要进一步改进,以适用于更高帧速率的内窥镜图像采集。当应用于动物或患者时,还需要包括运动和变形模型。

著录项

  • 来源
    《Computer methods in biomechanics and bio》 |2018年第2期|182-191|共10页
  • 作者单位

    Department of Medical Imaging, IRCAD-Taiwan, Changhua, Taiwan,Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan,Graduate Institute of Photonics, National Changhua University of Education, Changhua, Taiwan;

    Department of Medical Imaging, IRCAD-Taiwan, Changhua, Taiwan,Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan;

    Department of Medical Imaging, IRCAD-Taiwan, Changhua, Taiwan,Chang Bing Show Chwan Memorial Hospital, Changhua, Taiwan;

    Department of Medical Imaging, IRCAD-Taiwan, Changhua, Taiwan;

    Department of Electrical Engineering, National Chung Cheng University, Chiyayi, Taiwan;

    Graduate Institute of Photonics, National Changhua University of Education, Changhua, Taiwan;

    Graduate Institute of Photonics, National Changhua University of Education, Changhua, Taiwan;

    Department of Electrical Engineering, National Chung Cheng University, Chiyayi, Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Endoscopic surgery; augmented reality; stereo endoscopy;

    机译:内窥镜手术;增强现实;立体内窥镜;

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