Department of Radiation and Medical Oncology, Hubei Province Cancer Clinical Study Center, Hubei Key Laboratory of Tumor Biological Behaviors, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Department of Traditional Chinese Medicine, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Sci Rep. 2020 Jun 24;10(1):10253. doi: 10.1038/s41598-020-67331-9.
The precision and efficiency of the registration of megavolt-level electronic portal imaging devices (EPID) images with the naked eye in the orthogonal window are reduced. This study aims to develop a new registration algorithm with enhanced accuracy and efficiency. Ten setup errors with different translation and rotation were simulated with the phantom. For each error, one set of simulated computer tomography images and EPID images were acquired and registered with the traditional and the new method. The traditional method was performed by two senior physicists with the Varian Offline Review software. The new method is basing on the comparison of the precise contours of the same bone structure in the digital reconstruction radiography images and the EPID images, and the contours were fitted with an automatic edge detection algorithm based on gradient images. The average error of the new method was decreased by 44.44%, 28.33%, 49.09% in the translation of X, Y, and Z axes (The traditional vs. the new: X axes, 0.45 mm vs. 0.25 mm; Y axes, 0.75 mm vs. 0.35 mm; Z axes, 0.55 mm vs. 0.28 mm), 42.86% and 40.48% in the rotation of X and Z axes (The traditional vs. the new: X axes, 0.49° vs. 0.28°; Z axes, 0.42° vs. 0.25°), respectively. The average elapsed time in the new method was reduced by 11.14% (The traditional vs. the new: 44 s vs. 39.1 s). The new registration method has significant advantages of accuracy and efficiency compared with the traditional method.
电子射野影像装置（EPID）图像与肉眼在正交窗口中的配准精度和效率降低。本研究旨在开发一种新的具有更高精度和效率的配准算法。使用体模模拟了十种不同平移和旋转的设置误差。对于每个误差，获取了一组模拟计算机断层扫描图像和 EPID 图像，并使用传统方法和新方法进行了配准。传统方法由两位资深物理学家使用瓦里安离线审查软件进行。新方法是基于数字重建射线照相图像和 EPID 图像中相同骨骼结构的精确轮廓的比较，并且轮廓通过基于梯度图像的自动边缘检测算法进行拟合。新方法的平均误差在 X、Y 和 Z 轴的平移方向上分别降低了 44.44%、28.33%和 49.09%（传统方法与新方法：X 轴，0.45mm 与 0.25mm；Y 轴，0.75mm 与 0.35mm；Z 轴，0.55mm 与 0.28mm），在 X 和 Z 轴的旋转方向上分别降低了 42.86%和 40.48%（传统方法与新方法：X 轴，0.49°与 0.28°；Z 轴，0.42°与 0.25°）。新方法的平均耗时减少了 11.14%（传统方法与新方法：44s 与 39.1s）。与传统方法相比，新的注册方法在准确性和效率方面具有显著优势。
