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无框架图像引导神经外科手术中的应用准确性:三种患者与图像配准方法的比较研究

Application accuracy in frameless image-guided neurosurgery: a comparison study of three patient-to-image registration methods.

作者信息

Woerdeman Peter A, Willems Peter W A, Noordmans Herke J, Tulleken Cornelis A F, van der Sprenkel Jan Willem Berkelbach

机构信息

Department of Neurology and Neurosurgery, Rudolf Magnus Institute of Neuroscience, University Medical Center-Utrecht, The Netherlands.

出版信息

J Neurosurg. 2007 Jun;106(6):1012-6. doi: 10.3171/jns.2007.106.6.1012.

Abstract

OBJECT

The aim of this study was to compare three patient-to-image registration methods in frameless stereotaxy in terms of their application accuracy (the accuracy with which the position of a target can be determined intraoperatively). In frameless stereotaxy, imaging information is transposed to the surgical field to show the spatial position of a localizer or surgical instrument. The mathematical relationship between the image volume and the surgical working space is calculated using a rigid body transformation algorithm, based on point-pair matching or surface matching.

METHODS

Fifty patients who were scheduled to undergo a frameless image-guided neurosurgical procedure were included in the study. Prior to surgery, the patients underwent either computerized tomography (CT) scanning or magnetic resonance (MR) imaging with widely distributed adhesive fiducial markers on the scalp. An extra fiducial marker was placed on the head as a target, as near as possible to the intracranial lesion. Prior to each surgical procedure, an optical tracking system was used to perform three separate patient-to-image registration procedures, using anatomical landmarks, adhesive markers, or surface matching. Subsequent to each registration, the target registration error (TRE), defined as the Euclidean distance between the image space coordinates and world space coordinates of the target marker, was determined. Independent of target location or imaging modality, mean application accuracy (+/- standard deviation) was 2.49 +/- 1.07 mm when using adhesive markers. Using the other two registration strategies, mean TREs were significantly larger (surface matching, 5.03 +/- 2.30 mm; anatomical landmarks, 4.97 +/- 2.29 mm; p < 0.001 for both).

CONCLUSIONS

The results of this study show that skin adhesive fiducial marker registration is the most accurate noninvasive registration method. When images from an earlier study are to be used and accuracy may be slightly compromised, anatomical landmarks and surface matching are equally accurate alternatives.

摘要

目的

本研究的目的是比较无框架立体定向中三种患者与图像配准方法在应用准确性(术中确定靶点位置的准确性)方面的差异。在无框架立体定向中,成像信息被转换到手术视野以显示定位器或手术器械的空间位置。基于点对匹配或表面匹配,使用刚体变换算法计算图像体积与手术工作空间之间的数学关系。

方法

50例计划接受无框架图像引导神经外科手术的患者纳入本研究。手术前,患者接受计算机断层扫描(CT)或磁共振成像(MR),头皮上粘贴广泛分布的粘性基准标记。在头部放置一个额外的基准标记作为靶点,尽可能靠近颅内病变。在每次手术前,使用光学跟踪系统,分别采用解剖标志、粘性标记或表面匹配进行三种不同的患者与图像配准程序。每次配准后,确定靶点配准误差(TRE),定义为靶点标记的图像空间坐标与世界空间坐标之间的欧几里得距离。无论靶点位置或成像方式如何,使用粘性标记时平均应用准确性(±标准差)为2.49±1.07mm。使用其他两种配准策略时,平均TRE明显更大(表面匹配,5.03±2.30mm;解剖标志,4.97±2.29mm;两者均p<0.001)。

结论

本研究结果表明,皮肤粘性基准标记配准是最准确的非侵入性配准方法。当要使用早期研究的图像且准确性可能略有下降时,解剖标志和表面匹配是同样准确的替代方法。

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