Video-endoscopic image analysis for 3D reconstruction of the surgical scene
Video-endoscopic image analysis for 3D reconstruction of the surgical scene
复制标题
用于手术场景 3D 重建的视频内窥镜图像分析
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
E. J. Gómez
中科院分区：
文献类型：
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作者：
A. C. González;Patricia Sánchez;F. Sánchez;I. Oropesa;F. Pozo;E. J. Gómez
视频内窥镜图像分析是微创手术中提取手术场景相关三维信息的重要信息来源。本文提出了一种基于视频图像分析的深度信息和器械与器官之间相对位置的提取方法。所提出的图像分析从以下各项中提取信息：（1）图像中的手术设置的投影几何形状，以确定腹腔镜工具的姿势，以及（2）图像中捕获的场景照明，以获得手术场景的深度图。结果验证了基于视频分析的方法用于获得整个手术场景的3D信息的潜力。这些信息为开发新的增强现实手术应用和通过客观指标改善手术培训提供了新的可能性。这种方法的主要好处是没有干扰外科医生在临床常规中表现的额外因素。
Video-endoscopic image analysis is an important source of information for extracting relevant 3D information of the surgical scene in minimally invasive surgery. This work proposes a new approach for getting depth information and relative position between instruments and organs based on video image analysis. The proposed image analysis extracts information from: (1) the projective geometry of the surgical setting in the image to determine laparoscopic tool’s pose, and (2) the scene illumination captured in the image for getting a depth-map of the surgical scene. Results have verified the potential of video-analysis based methods for obtaining 3D information of the whole surgical scene. This information offers new possibilities for developing new augmented reality surgical applications and for improving surgical training with objective metrics. The main benefit of this approach is the lack of extra elements which disturb surgeons’ performance in the clinical routine.