Watanabe Hiroyuki, Hashimoto Takeyuki, Hasezawa Kenji, Nakaseko Kazuma, Nitta Masaru, Kato Kyoichi, Shinohara Hiroyuki
Graduate School of Health Sciences, Showa University.
Department of Radiological Technology, Showa University Northern Yokohama Hospital (Current address: Department of Radiological Technology, Showa University Hospital).
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2018;74(8):779-788. doi: 10.6009/jjrt.2018_JSRT_74.8.779.
In this study, computer simulations and experiments were used to verify the accuracy of a two-dimensional image registration program (program) for portal images that we previously developed. The program used a computed radiography cassette system and digitally reconstructed radiography images as planning images for external beam radiation therapy. Using this program, we also investigated the reason two-dimensional automatic image registration images experienced large misregistration in clinical practice using commercial image registration systems. Mutual information and normalized mutual information were used as the registration criteria. To investigate the influence of image background with or without a region of interest (ROI), results of image registrations were compared. Parameters of image registration were defined as translation in the horizontal and vertical directions (x and y, respectively) and rotation (θ) around the axis perpendicular to the x-y plane. There was no significant difference in image registration arising from the difference between mutual information and normalized mutual information. Image registration was improved with a ROI. Regardless of the registration criteria, errors in image registration with a ROI in the experimental study were ≤1.2 mm in directions x and y and ≤1.0 degree in rotation θ. We found that image registration required setting up as close to the planned position as possible.
在本研究中,我们使用计算机模拟和实验来验证我们之前开发的用于门静脉图像的二维图像配准程序(程序)的准确性。该程序使用计算机射线照相暗盒系统和数字重建射线照相图像作为外照射放射治疗的计划图像。使用该程序,我们还研究了在临床实践中使用商业图像配准系统时二维自动图像配准图像出现较大配准误差的原因。互信息和归一化互信息被用作配准标准。为了研究有无感兴趣区域(ROI)的图像背景的影响,比较了图像配准的结果。图像配准参数定义为水平和垂直方向(分别为x和y)的平移以及绕垂直于x - y平面的轴的旋转(θ)。互信息和归一化互信息之间的差异导致的图像配准没有显著差异。有ROI时图像配准得到改善。无论配准标准如何,在实验研究中,有ROI时图像配准在x和y方向的误差≤1.2毫米,旋转θ的误差≤1.0度。我们发现图像配准需要尽可能设置在接近计划位置的地方。