Asvestas Pantelis A, Delibasis Konstantinos K, Mouravliansky Nikolaos A, Matsopoulos George K
Institute of Communication and Computer Systems, National Technical University of Athens, 9 Iroon Polytechniou Street, Zografos, Athens 15780, Greece.
Int J Biomed Imaging. 2007;2007:61523. doi: 10.1155/2007/61523.
The purpose of the paper is to present and evaluate the performance of a new software-based registration system for patient setup verification, during radiotherapy, using electronic portal images. The estimation of setup errors, using the proposed system, can be accomplished by means of two alternate registration methods. (a) The portal image of the current fraction of the treatment is registered directly with the reference image (digitally reconstructed radiograph (DRR) or simulator image) using a modified manual technique. (b) The portal image of the current fraction of the treatment is registered with the portal image of the first fraction of the treatment (reference portal image) by applying a nearly automated technique based on self-organizing maps, whereas the reference portal has already been registered with a DRR or a simulator image. The proposed system was tested on phantom data and on data from six patients. The root mean square error (RMSE) of the setup estimates was 0.8 +/- 0.3 (mean value +/- standard deviation) for the phantom data and 0.3 +/- 0.3 for the patient data, respectively, by applying the two methodologies. Furthermore, statistical analysis by means of the Wilcoxon nonparametric signed test showed that the results that were obtained by the two methods did not differ significantly (P value >0.05).
本文的目的是介绍并评估一种新的基于软件的配准系统在放射治疗期间使用电子门静脉图像进行患者摆位验证的性能。使用所提出的系统估计摆位误差可以通过两种交替的配准方法来完成。(a) 使用改进的手动技术将当前治疗分次的门静脉图像直接与参考图像(数字重建射线照片(DRR)或模拟图像)配准。(b) 通过应用基于自组织映射的近乎自动化技术,将当前治疗分次的门静脉图像与治疗的第一个分次的门静脉图像(参考门静脉图像)配准,而参考门静脉图像已经与DRR或模拟图像配准。所提出的系统在体模数据和六名患者的数据上进行了测试。通过应用这两种方法,体模数据的摆位估计均方根误差(RMSE)分别为0.8 +/- 0.3(平均值 +/- 标准差),患者数据为0.3 +/- 0.3。此外,通过Wilcoxon非参数符号检验进行的统计分析表明,两种方法获得的结果没有显著差异(P值>0.05)。