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针对涉及可变形器官的微创手术,最小化目标注册误差。

Target registration error minimization for minimally invasive interventions involving deformable organs.

机构信息

Silesian University of Technology, Faculty of Biomedical Engineering, 40 Roosevelta, 41-800 Zabrze, Poland.

Silesian University of Technology, Faculty of Biomedical Engineering, 40 Roosevelta, 41-800 Zabrze, Poland.

出版信息

Comput Med Imaging Graph. 2018 Apr;65:4-10. doi: 10.1016/j.compmedimag.2017.01.008. Epub 2017 Feb 8.

DOI:10.1016/j.compmedimag.2017.01.008
PMID:28233642
Abstract

Precise positioning of the target point during minimally invasive procedures is a major challenge associated with the use of image-based navigation systems. No significant dependence between fiducial registration error (FRE) and target registration error (TRE) was found. However, this investigation demonstrated the utility of using thin plate splines (TPS) and marker observation to monitor FRE during respiration to estimate target position based on the deformation field for minimally invasive procedures in deformable regions. The proposed methodology was verified via experiments involving 21 patients diagnosed with liver tumors. This method has been developed for real-time use while performing operations.

摘要

在微创过程中,精确确定目标点的位置是使用基于图像的导航系统所面临的主要挑战。研究未发现基准注册误差(FRE)和目标注册误差(TRE)之间有显著的相关性。然而,本研究通过实验证明了使用薄板样条(TPS)和标记观察来监测呼吸过程中的 FRE 的有效性,以便根据可变形区域中微创过程的变形场来估计目标位置。所提出的方法已通过涉及 21 例肝脏肿瘤患者的实验得到验证。该方法是为在手术过程中实时使用而开发的。

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An in vivo porcine dataset and evaluation methodology to measure soft-body laparoscopic liver registration accuracy with an extended algorithm that handles collisions.一种用于测量具有扩展算法的软式腹腔镜肝脏注册准确性的体内猪数据集和评估方法,该算法可处理碰撞。
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