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Attempts to Bronchial Tumor Motion Tracking in Portal Images during Conformal Radiotherapy Treatment

机译:适形放疗期间尝试在门静脉图像中跟踪支气管肿瘤运动

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This is a feasibility study of tumor motion tracking in images generated by radiotherapy treatment beam. The objective is to control the beam during free breathing so as to reduce the irradiated zone and thus preserve healthy tissues. Two algorithms were tested on portal images sequences. Optical flow estimation (standard Horn and Schunck's algorithm), applied to images from a patient, gave poor results because of low contrast and absence of texture in these images. Target tracking algorithm (block-matching), tested on images of a phantom with a radio-opaque marker, gave satisfactory results : mean absolute error was less than 1 mm. Hence, tumor tracking in portal images is possible, provided that a marker can be implanted in tumor's vicinity. For images without markers, further work is necessary to assess if the small amount of motion information contained in such images can be reliably exploited.
机译:这是在放射治疗束产生的图像中跟踪肿瘤运动的可行性研究。目的是在自由呼吸期间控制光束,以减少照射区域,从而保护健康的组织。在门户图像序列上测试了两种算法。由于来自患者的图像对比度低且没有纹理,因此将光流估计(标准的Horn和Schunck算法)应用于患者的图像时,结果较差。目标跟踪算法(块匹配)在具有不透射线标记的体模图像上进行了测试,得出了令人满意的结果:平均绝对误差小于1 mm。因此,只要可以将标记物植入肿瘤附近,就可以在门静脉图像中追踪肿瘤。对于没有标记的图像,需要做进一步的工作来评估是否可以可靠地利用这些图像中包含的少量运动信息。

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