Motion Compensation Strategies in Tomography
Motion Compensation Strategies in Tomography
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DOI：
10.1007/978-3-030-57784-1_3
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发表时间：
2021
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影响因子：
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通讯作者：
B. Hahn
中科院分区：
文献类型：
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作者：
B. Hahn
成像方式已被开发和建立作为重要的和强大的工具，以恢复所研究的标本的内部结构的特征，从诱导测量。重建过程构成了逆问题理论的一个众所周知的应用，并且如果被研究对象是静止的，则被很好地理解。然而，在许多医疗和工业应用中，所研究的量显示出时间依赖性，例如由于患者或器官运动。大多数成像模态顺序地记录数据，即，在测量过程期间对象的时间变化导致不一致的数据集。因此，解决静态情况下的基本逆问题的标准重建技术导致计算图像中的运动伪影，从而导致图像质量下降，因此，必须开发具有特定处理的动态的合适的模型和算法，以解决这种时间相关的成像问题。本文提供了一个各自的理论框架，以及从不同的成像应用，包括研究三维锥束CT的数值结果。
Imaging modalities have been developed and established as important and powerful tools to recover characteristics of the interior structure of a studied specimen from induced measurements. The reconstruction process constitutes a well-known application of the theory of inverse problems and is well understood if the investigated object is stationary.However, in many medical and industrial applications, the studied quantity shows a time-dependency, for instance due to patient or organ motion. Most imaging modalities record the data sequentially, i.e. temporal changes of the object during the measuring process lead to inconsistent data sets. Therefore, standard reconstruction techniques which solve the underlying inverse problem in the static case lead to motion artefacts in the computed image and hence to a degraded image quality.Consequently, suitable models and algorithms with a specific treatment of the dynamics have to be developed in order to solve such time-dependent imaging problems. This article provides a respective theoretical framework as well as numerical results from different imaging applications, including a study of 3D cone-beam CT.