Bouget David, Lalys Florent, Jannin Pierre
INSERM, U746, Faculté de médecine CS 34317, F-35043 Rennes Cedex, France.
Stud Health Technol Inform. 2012;173:78-84.
In image-guided surgery, a new generation of Computer-Assisted-Surgical (CAS) systems based on information from the Operating Room (OR) has recently been developed to improve situation awareness in the OR. Our main project is to develop an application-dependant framework able to extract high-level tasks (surgical phases) using microscope videos data only. In this paper, we present two methods: one method to segment the pupil and one to extract and recognize surgical tools. We show how both methods improve the accuracy of the framework for analysis of cataract surgery videos, to detect eight surgical phases.
在图像引导手术中,最近已开发出新一代基于手术室(OR)信息的计算机辅助手术(CAS)系统,以提高手术室中的态势感知能力。我们的主要项目是开发一个依赖于应用程序的框架,该框架仅使用显微镜视频数据就能提取高级任务(手术阶段)。在本文中,我们提出了两种方法:一种是分割瞳孔的方法,另一种是提取和识别手术工具的方法。我们展示了这两种方法如何提高用于分析白内障手术视频以检测八个手术阶段的框架的准确性。