Ding G X, Shalev S, Gluchev G
Department of Medical Physics, Manitoba Cancer Treatment and Research Foundation, Winnipeg, Canada.
Med Phys. 1993 Jul-Aug;20(4):1135-43. doi: 10.1118/1.596967.
A new technique based on a rho-theta coordinate system for determining differences in patient position between portal and simulator images is presented. Unlike the conventional point matching method, which requires the fiducial points to be labeled in pairs before the registration, the rho-theta technique avoids this manual procedure. It accomplishes the treatment verification in two major steps; image alignment and field displacement analysis. For the same number of fiducial points in the simulator and portal images, it first finds the corresponding paired points if the points are not distributed symmetrically about their centroid. This is followed by alignment of these paired points using the least squares matching method to find the optimal two-dimensional rigid body transformation parameters (shift, rotation, and scaling factor). The transformation parameters are then used to transform the portal field edge into the simulator image, so that the portal field can be compared with the prescribed field on the simulator image. A number of parameters were explored to describe the field displacement errors, including treatment field size, under/over irradiated size, the shift in center of gravity of the field, the field edge shift, and rotation of the field. The rho-theta technique as implemented is both fast and accurate. Experiments on the registration of radiological phantom portal images acquired with an on-line portal imaging system mounted on a linear accelerator indicate an accuracy on the order of 1 mm in detecting the shift of the field's center of gravity and approximately 1 degree in detecting the field rotation. The results of a clinical trial are also presented.(ABSTRACT TRUNCATED AT 250 WORDS)
本文介绍了一种基于rho-theta坐标系的新技术,用于确定门静脉图像和模拟图像之间患者位置的差异。与传统的点匹配方法不同,传统方法需要在配准前对基准点进行成对标记,而rho-theta技术避免了这种手动操作。它通过两个主要步骤完成治疗验证:图像对齐和射野位移分析。对于模拟图像和门静脉图像中相同数量的基准点,如果这些点不是关于它们的质心对称分布,它首先找到相应的成对点。然后使用最小二乘匹配方法对这些成对的点进行对齐,以找到最佳的二维刚体变换参数(平移、旋转和缩放因子)。然后使用变换参数将门静脉射野边缘变换到模拟图像中,以便将门静脉射野与模拟图像上的规定射野进行比较。研究了许多参数来描述射野位移误差,包括治疗射野大小、照射不足/过度照射大小、射野重心的偏移、射野边缘偏移和射野旋转。所实现的rho-theta技术既快速又准确。对安装在线性加速器上的在线门静脉成像系统采集的放射模型门静脉图像进行配准的实验表明,在检测射野重心偏移方面的精度约为1毫米,在检测射野旋转方面的精度约为1度。还给出了一项临床试验的结果。(摘要截短为250字)