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Respiratory motion models: A review

机译:呼吸运动模型:综述

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The problem of respiratory motion has proved a serious obstacle in developing techniques to acquire images or guide interventions in abdominal and thoracic organs. Motion models offer a possible solution to these problems, and as a result the field of respiratory motion modelling has become an active one over the past 15. years. A motion model can be defined as a process that takes some surrogate data as input and produces a motion estimate as output. Many techniques have been proposed in the literature, differing in the data used to form the models, the type of model employed, how this model is computed, the type of surrogate data used as input to the model in order to make motion estimates and what form this output should take. In addition, a wide range of different application areas have been proposed. In this paper we summarise the state of the art in this important field and in the process highlight the key papers that have driven its advance. The intention is that this will serve as a timely review and comparison of the different techniques proposed to date and as a basis to inform future research in this area.
机译:呼吸运动问题已被证明是开发用于获取图像或指导腹部和胸腔器官干预的技术的严重障碍。运动模型为这些问题提供了一种可能的解决方案,因此,呼吸运动建模领域在过去15年中已成为活跃的领域。可以将运动模型定义为以下过程:该过程将一些替代数据作为输入,并生成运动估计作为输出。文献中已经提出了许多技术,这些技术的不同之处在于:用于形成模型的数据,所采用的模型的类型,如何计算此模型,用于进行运动估计的用作模型输入的替代数据的类型以及哪些内容此输出应采用的形式。另外,已经提出了各种各样的不同应用领域。在本文中,我们总结了该重要领域的最新技术,并在此过程中重点介绍了推动其发展的关键论文。目的是为了及时回顾和比较迄今为止提出的不同技术,并为该领域的未来研究提供依据。

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