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Target Registration Error minimization involving deformable organs using elastic body splines and Particle Swarm Optimization approach

机译:目标注册误差最小化使用弹性体样条和粒子群优化方法涉及可变形器官

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摘要

Abstract In minimally invasive surgery one of the main challenges is the precise location of the target during the intervention. The aim of the study is to present usability of elastic body splines (EBS) to minimize TRE error. The method to find the desired EBS parameters values is presented with usage of Particle Swarm optimization approach. This ability of TRE minimization has been achieved for the respiratory phases corresponding to minimum FRE for abdominal (especially liver) surgery. The proposed methodology was verified during experiments conducted on 21 patients diagnosed with liver tumors. This method has been developed to perform operations in real-time on a standard workstation. Graphical abstract Display Omitted Highlights ? Minimization of Target Registration Error for minimally invasive intervention was achieved. ? Usability of elastic body splines to minimize Target Registration Error was presented. ? Particle Swarm optimization approach was used to find parameters of spline curves.
机译:摘要在微创手术中,主要挑战之一是目标在干预期间的精确位置。该研究的目的是呈现弹性体样条(EBS)的可用性,以最小化TRE误差。找到所需EBS参数值的方法具有粒子群优化方法的使用。对对应于腹部(特别是肝脏)手术的最小FRE的呼吸阶段已经实现了这种TRE最小化的能力。在诊断肝肿瘤的21例患者进行的实验期间验证了所提出的方法。已经开发出该方法以实时在标准工作站上执行操作。图形抽象显示省略了亮点?实现了最小化目标登记误差以实现最低侵入性干预。还提出了弹性体的可用性,以最小化目标登记误差。还粒子群优化方法用于找到样条曲线的参数。

著录项

  • 来源
    《Surgical oncology》 |2017年第4期|共9页
  • 作者单位

    Silesian University of Technology Faculty of Biomedical Engineering;

    Silesian University of Technology Faculty of Biomedical Engineering;

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

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