Effect of registration mode on neuronavigation precision: an exploration of the role of random error.

Q Medicine Computer Aided Surgery Pub Date : 2012-01-01 Epub Date: 2012-06-08 DOI:10.3109/10929088.2012.691992
Asem Salma, Orphée Makiese, Steffen Sammet, Mario Ammirati
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引用次数: 11

Abstract

The aim of this paper is to analyze the variations in registration accuracy for computer-assisted surgical navigation using three different modes of registration, in order to explore the behavior of random error, and to highlight the precision of neuronavigation as a concept distinct from accuracy. The operational accuracy of three different registration modes (bone fiducials, scalp adhesive fiducials and an auto-registration mask) was evaluated in a total of 20 fresh cadaveric heads. The precision of the neuronavigation system was then assessed by evaluating the variation in the accuracy measurements associated with each registration mode. The coefficient of variation was employed to quantify the degree of variation in the attained accuracy using the following formula: Coefficient of variation = standard deviation/mean * 100. For external targets, the precision of the neuronavigation system was greatest with mask registration (43.75 and 51.41 for anterior and posterior external targets, respectively) and lowest with bone registration (65.30 and 67.17 for anterior and posterior external targets, respectively). For internal targets, the precision of the neuronavigation system was greatest with bone registration (47.69 and 42.6 for anterior and posterior internal targets, respectively) and lowest with mask registration (62.9 and 58.67 for anterior and posterior internal targets, respectively). The precision (reproducibility) of the neuronavigation system is another important quantity besides accuracy that characterizes the performance of the system. Understanding both of these quantities for a given registration mode enhances the use of a neuronavigation system in neurosurgery.

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配准方式对神经导航精度的影响:随机误差作用的探讨。
本文的目的是分析使用三种不同的配准模式的计算机辅助手术导航的配准精度的变化,以探讨随机误差的行为,并突出神经导航的精度作为一个不同于精度的概念。在总共20个新鲜尸体头部中评估了三种不同配准模式(骨基准、头皮黏附基准和自动配准面罩)的操作精度。然后通过评估与每种注册模式相关的精度测量的变化来评估神经导航系统的精度。变异系数用于量化获得精度的变异程度,公式如下:变异系数=标准差/平均值* 100。对于外部目标,面罩配准时神经导航系统的精度最高(前后外部目标分别为43.75和51.41),骨配准时精度最低(前后外部目标分别为65.30和67.17)。对于内靶,骨配准时神经导航系统的精度最高(前后路内靶分别为47.69和42.6),而面罩配准时精度最低(前后路内靶分别为62.9和58.67)。神经导航系统的精度(再现性)是除精度外表征系统性能的另一个重要指标。对于给定的配准模式,理解这两个量可以增强神经导航系统在神经外科中的应用。
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来源期刊
Computer Aided Surgery
Computer Aided Surgery 医学-外科
CiteScore
0.75
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: The scope of Computer Aided Surgery encompasses all fields within surgery, as well as biomedical imaging and instrumentation, and digital technology employed as an adjunct to imaging in diagnosis, therapeutics, and surgery. Topics featured include frameless as well as conventional stereotaxic procedures, surgery guided by ultrasound, image guided focal irradiation, robotic surgery, and other therapeutic interventions that are performed with the use of digital imaging technology.
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