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Accuracy analysis of line-based registration for image guided neurosurgery at different operating areas - a phantom study.
Computer Assisted Surgery ( IF 2.1 ) Pub Date : 2017-10-23 , DOI: 10.1080/24699322.2017.1389392
Dafeng Ji 1 , Yuan Dong 1 , Manning Wang 1 , Zhijian Song 1
Affiliation  

Space registration is the primary function of neuronavigation systems. According to the stage of the operation, the registration could be classified as rigid and non-rigid methods. Scientists have proposed three types of rigid registration methods: point-based registration (PBR), line-based registration (LBR), and surface-based registration (SBR). PBR has been widely used in clinical applications. Recently, LBR was proposed as a new spacing registration method. However, the range and accuracy of LBR are still not defined for clinical applications. In this paper, LBR has been evaluated directly with target registration error (TRE) in different operating areas: sphenoid-frontal, parietal-temporal, and occipital areas. We used two head phantoms: elastic and rigid phantoms. After scanning with computerized tomography (CT), the difference between the TRE of the elastic and rigid phantom had been evaluated based on LBR method. Then, LBR had been employed at the rigid phantom using different line patterns: single (100 points), double (200 points), triple (300 points), and quartic lines (400 points). TRE were directly measured on the phantom. Then, t-tests were applied to evaluate the difference between the TRE of LBR of both the phantoms and line patterns. Results indicate that there is no statistical difference in TRE between the phantoms. TRE were reduced to less than 3 mm after the use of double lines which was significantly less than those after the use of single lines. Except for sphenoid tumor, the other operating areas showed statistical differences in TRE between double and triple lines. Except for temporal tumor, the differences between the TRE of triple and quartic lines are not significant.



中文翻译:

基于线的配准在不同手术区域的图像引导神经外科手术的准确性分析-一项幻像研究。

空间登记是神经导航系统的主要功能。根据操作阶段,可以将注册分为刚性和非刚性方法。科学家提出了三种类型的刚性配准方法:基于点的配准(PBR),基于线的配准(LBR)和基于表面的配准(SBR)。PBR已被广泛应用于临床。最近,LBR被提出作为一种新的间隔配准方法。但是,LBR的范围和准确性仍未定义用于临床应用。在本文中,LBR已在不同的手术区域(蝶窦,额颞叶和枕叶区域)中直接通过目标配准误差(TRE)进行了评估。我们使用了两种头部模型:弹性和刚性模型。用计算机断层扫描(CT)扫描后,基于LBR法评估了弹性体模和刚性体模的TRE之间的差异。然后,在刚性体模上使用不同的线条图案使用LBR:单线(100点),双线(200点),三线(300点)和四线(400点)。TRE直接在体模上测量。然后,应用t检验来评估模型和线型的LBR的TRE之间的差异。结果表明,幻影之间的TRE没有统计差异。使用双线后,TRE减小至3 mm以下,这明显低于使用单线后的TRE。除蝶骨肿瘤外,其他手术区域在双线和三线之间显示出TRE的统计学差异。除了颞部肿瘤

更新日期:2017-10-23
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