Titlebook: Registration Methods for Pulmonary Image Analysis; Integration of Morph Alexander Schmidt-Richberg Book 2014 Springer Fachmedien Wiesbaden

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Book 2014mation of the breathing motion is employed to increase the accuracy of dose distribution in radiotherapy. Alexander Schmidt-Richberg develops methods to explicitly model morphological and physiological knowledge about respiration in algorithms for the registration of thoracic CT images. The author f

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Variational image registration,T images. Here, the focus is on dense transformation models and calculus of variations to solve the problem. However, the framework enables the integration of various well-established formulations of the similarity measure and the smoothing term as introduced in Chapter 2. In contrast to evaluation

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Lung registration with explicit interlobular fissure alignment,and are functioning relatively independent from each other. Moreover, each lobe has its own pleural covering. As illustrated in Figure 5.1, the pleurae of adhering lobes are visible as hairlines in radiographic images and are denoted as the interlobular fissures [Hayashi et al. 2001].

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Sliding motion in image registration, smoothness condition that ensures a physiologically plausible motion. One of the major challenges for such registration methods in the context of this work is the occurrence of sliding motion – a physiological characteristic that is, for example, observed at the boundaries of multiple structures du

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Variational level set segmentation,segmentation with level sets is particularly eligible because it can be formulated as an energy minimization problem. Equivalently to the registration framework, this allows not only a problem-specific adaption of the general segmentation approach, but also an intrinsic integration of segmentation and registration as presented in Chapter 5.