Adapting inverse planning to patient and organ geometrical variation:: algorithm and implementation
Adapting inverse planning to patient and organ geometrical variation:: algorithm and implementation
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DOI：
10.1118/1.1610751
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发表时间：
2003-10-01
期刊：
影响因子：
3.8
通讯作者：
N端sslin, F
中科院分区：
文献类型：
--
作者：
Birkner, M;Yan, D;N端sslin, F
通过将患者特定的时间几何信息纳入自适应计划过程中，图像引导放射治疗具有改善肿瘤控制和正常组织保留的潜力。在本研究中，我们提出了一种在治疗过程中基于CT和门脉图像反馈的图像引导自适应逆规划的实用方法。该方法基于患者/器官动态几何变化下放射治疗优化问题的一般描述。我们将以三例前列腺癌患者为例，论证离线图像反馈在逆向规划过程中的可行性。治疗早期获得的CT和门静脉图像被用来预测患者的几何变异分布，并据此重新优化治疗计划。我们将研究优化问题关于图像测量和自适应反馈回路的数量的收敛问题。(C)2003年美国医学物理学家协会。
Image guided radiotherapy has the potential to improve both tumour control and normal tissue sparing by including temporal patient specific geometry information into the adaptive planning process. In this study we present a practical method of image guided adaptive inverse planning based on computed tomography (CT) and portal image feedback during the treatment course. The method is based on a general description of the radiotherapy optimization problem subject to dynamic geometrical variations of the patient/organs. We will demonstrate the feasibility of off-line image feedback into the inverse planning process with the example of three prostate cancer patients. CT and portal images acquired during the early course of the treatment are used to predict the geometrical variation distribution of a patient and to re-optimize the treatment plan accordingly. We will study the convergence of the optimization problem with respect to the number of image measurements and adaptive feedback loops. (C) 2003 American Association of Physicists in Medicine.