Development of real-time tumor tracking algorithm for respiratory gated particle therapy

我们开发了实时肿瘤跟踪算法的基础上的人体数字体模与intrafractional器官运动。由于真实的人体器官运动是非常复杂的，我们改进了我们的算法，使用多个数据集反映临床情况。而对患者的辐射暴露是X射线荧光透视成像中的另一个主要问题，因为可能需要相对大幅度的辐射暴露来提高肿瘤跟踪计算精度。为了克服这个问题，我们开发了图像处理算法来提高透视图像的质量，因此，这种技术可以减少辐射暴露的幅度，防止肿瘤跟踪的准确性。

We developed the realtime tumor tracking algorithm based on the human numeric phantom with intrafractional organ motions. Since real human organ motion is much complex, we improved our algorithm by using several data sets reflected to clinical situation. While radiation exposure to the patient is another major problem in X-ray fluoroscopic imaging because A relative large magnitude of radiation exposure may be necessary to improve tumor tracking calculation accuracy. To overcome this problem, we developed the image processing algorithm to improve quality of fluoroscopic image, as a result, this technique could reduce the magnitude of radiation exposure with prevent the accuracy of tumor tracking.