首页> 外文会议>International Workshop on Medical Imaging and Augmented Reality >Content-Based Surgical Workflow Representation Using Probabilistic Motion Modeling
【24h】

Content-Based Surgical Workflow Representation Using Probabilistic Motion Modeling

机译:基于内容的外科工作流表示使用概率运动建模

获取原文

摘要

Succinct content-based representation of minimally invasive surgery (MIS) video is important for efficient surgical workflow analysis and modeling of instrument-tissue interaction. Current approaches to video representation are not well suited to MIS as they do not fully capture the underlying tissue deformation nor provide reliable feature tracking. The aim of this paper is to propose a novel framework for content-based surgical scene representation, which simultaneously identifies key surgical episodes and encodes motion of tracked salient features. The proposed method does not require pre-segmentation of the scene and can be easily combined with 3D scene reconstruction techniques to provide further scene representation without the need of going back to the raw data.
机译:基于简洁的基于内容的基于内容的侵入性手术(MIS)视频对于有效的外科工作流程分析和仪器组织相互作用的建模是重要的。当前对视频表示的方法并不适用于MIS,因为它们没有完全捕获潜在的组织变形,也不提供可靠的特征跟踪。本文的目的是提出基于内容的外科手术场景表示的新框架,其同时识别关键的外科剧集并编码跟踪突出特征的运动。所提出的方法不需要场景的预分割,并且可以容易地与3D场景重建技术组合,以提供进一步的场景表示,而无需返回原始数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号