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首页> 外文会议>Image Processing pt.3; Progress in Biomedical Optics and Imaging; vol.7 no.30 >Quantitative comparison of delineated structure shape in radiotherapy
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Quantitative comparison of delineated structure shape in radiotherapy

机译：放射治疗中划定的结构形状的定量比较

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摘要

There has been an influx of imaging and treatment technologies into cancer radiotherapy over the past fifteen years. The result is that radiation fields can now be accurately shaped to target disease delineated on pre-treatment planning scans whilst sparing critical healthy structures. Two well known problems remain causes for concern. The first is inter- and intra-observer variability in planning scan delineations, the second is the motion and deformation of a tumour and interacting adjacent organs during the course of radiotherapy which compromise the planned targeting regime. To be able to properly address these problems, and hence accurately shape the margins of error used to account for them, an intuitive and quantitative system of describing this variability must be used. This paper discusses a method of automatically creating correspondence points over similar non-polar delineation volumes, via spherical parameterisation, so that their shape variability can be analysed as a set of independent one dimensional statistical problems. The importance of 'pole' selection to initial parameterisation and hence ease of optimisation is highlighted, the use of sparse anatomical landmarks rather than spherical harmonic expansion for establishing point correspondence discussed, and point variability mapping introduced. A case study is presented to illustrate the method. A group of observers were asked to delineate a rectum on a series of time-of-treatment Cone Beam CT scans over a patient's fractionation schedule. The overall observer variability was calculated using the above method and the significance of the organ motion over time evaluated.
机译：在过去的十五年中，影像和治疗技术大量涌入了癌症放射治疗。结果是，辐射场现在可以准确地定形，以针对治疗前计划扫描中描绘的疾病，同时保留关键的健康结构。两个众所周知的问题仍然令人关注。第一个是计划扫描描述中观察者之间和观察者内部的可变性，第二个是放疗过程中肿瘤以及相邻器官相互作用的运动和变形，这会损害计划的靶向方案。为了能够正确解决这些问题，从而准确地确定用于解决这些问题的误差范围，必须使用描述这种可变性的直观而定量的系统。本文讨论了一种通过球面参数化在相似的非极性轮廓体积上自动创建对应点的方法，以便可以将它们的形状变异性分析为一组独立的一维统计问题。强调了“极点”选择对初始参数化以及因此易于优化的重要性，讨论了使用稀疏解剖学界标而不是球谐展开来建立点对应关系，并介绍了点变异性映射。案例研究表明了该方法。一组观察者被要求在一系列治疗时间的锥束CT扫描上划定直肠，以描述患者的分割时间表。使用上述方法计算观察者的总体变异性，并评估器官运动随时间变化的重要性。

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