Watanabe Yohei, Hayashi Yuichiro, Fujii Masazumi, Kimura Miyuki, Sugiura Akihiro, Tsuzaka Masatoshi, Wakabayashi Toshihiko
Graduate School of Medical Sciences, Nagoya University.
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2010 Feb 20;66(2):131-6. doi: 10.6009/jjrt.66.131.
An image-guided neurosurgery and neuronavigation system based on magnetic resonance imaging has been used as an indispensable tool for resection of brain tumors. Therefore, accuracy of the neuronavigation system, provided by periodic quality assurance (QA), is essential for image-guided neurosurgery. Two types of accuracy index, fiducial registration error (FRE) and target registration error (TRE), have been used to evaluate navigation accuracy. FRE shows navigation accuracy on points that have been registered. On the other hand, TRE shows navigation accuracy on points such as tumor, skin, and fiducial markers. This study shows that TRE is more reliable than FRE. However, calculation of TRE is a time-consuming, subjective task. Software for QA was developed to compute TRE. This software calculates TRE automatically by an image processing technique, such as automatic template matching. TRE was calculated by the software and compared with the results obtained by manual calculation. Using the software made it possible to achieve a reliable QA system.
基于磁共振成像的图像引导神经外科手术和神经导航系统已成为脑肿瘤切除不可或缺的工具。因此，由定期质量保证（QA）提供的神经导航系统的准确性对于图像引导神经外科手术至关重要。两种类型的准确性指标，即基准配准误差（FRE）和目标配准误差（TRE），已被用于评估导航准确性。FRE显示已注册点的导航准确性。另一方面，TRE显示肿瘤、皮肤和基准标记等点的导航准确性。本研究表明，TRE比FRE更可靠。然而，TRE的计算是一项耗时且主观的任务。开发了用于QA的软件来计算TRE。该软件通过自动模板匹配等图像处理技术自动计算TRE。通过软件计算TRE，并与手动计算结果进行比较。使用该软件使得实现可靠的QA系统成为可能。
