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Automated Nomenclature of Upper Abdominal Arteries for Displaying Anatomical Names on Virtual Laparoscopic Images

机译:在虚拟腹腔镜图像上显示解剖学名称的上腹部动脉自动命名法

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摘要

This paper presents a method for automated nomenclature of abdominal arteries that are extracted from 3D CT images based on the combination optimization approach for the displaying anatomical names on virtual laparoscopic images. It is important to understand the blood vessel network of a patient. Our proposed method recognizes the anatomical names of each arterial branch extracted from contrasted 3D images based on geometric features. We employ a combination optimization approach for treating the variations of branching patterns and overlay recognized anatomical names on virtual laparoscopic views for assisting the recognition of patient anatomy for surgeons. Experimental results using 89 cases of 3D CT images showed that the nomenclature accuracy for uncorrected blood vessel tree and corrected blood vessel tree were about 84.2% and 88.8% in average respectively and demonstrated anatomical name overlay on virtual laparoscopic images.
机译:本文提出了一种基于组合优化方法从3D CT图像提取的腹部动脉自动命名的方法,用于在虚拟腹腔镜图像上显示解剖学名称。了解患者的血管网络很重要。我们提出的方法可根据几何特征识别从对比的3D图像中提取的每个动脉分支的解剖学名称。我们采用一种组合优化方法来处理分支图案的变化,并在虚拟腹腔镜视图上覆盖公认的解剖学名称,以帮助外科医生识别患者的解剖结构。使用89例3D CT图像进行的实验结果表明,未经校正的血管树和经过校正的血管树的命名准确度平均分别约为84.2%和88.8%,并显示了虚拟腹腔镜图像上的解剖学名称覆盖。

著录项

  • 来源
    《Medical imaging and augmented reality》|2010年|p.353-362|共10页
  • 会议地点 Beijing(CN);Beijing(CN)
  • 作者单位

    Information and Communications Headquarters, Nagoya University, Japan,Graduate School of Information Science, Nagoya University, Japan;

    Information and Communications Headquarters, Nagoya University, Japan;

    Graduate School of Information Science, Nagoya University, Japan;

    Graduate School of Information Science, Nagoya University, Japan;

    Faculty of Information Science, Aichi Institute of Technology, Japan;

    Graduate School of Medicine, Nagoya University, Japan;

    Aichi Cancer Center Hospital, Japan;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医用物理学;
  • 关键词

  • 入库时间 2022-08-26 14:09:56

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