针叶类的树 发表于 2025-3-23 09:56:41
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 ffollicle 发表于 2025-3-23 16:16:20
http://reply.papertrans.cn/83/8255/825493/825493_12.png腼腆 发表于 2025-3-23 19:29:15
http://reply.papertrans.cn/83/8255/825493/825493_13.png赏钱 发表于 2025-3-23 23:15:48
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吸引力 发表于 2025-3-24 02:54:08
http://reply.papertrans.cn/83/8255/825493/825493_15.png针叶树 发表于 2025-3-24 09:55:11
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 .付出 发表于 2025-3-24 14:17:58
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 duAdenocarcinoma 发表于 2025-3-24 18:11:45
http://reply.papertrans.cn/83/8255/825493/825493_18.pngmenopause 发表于 2025-3-24 22:23:49
http://reply.papertrans.cn/83/8255/825493/825493_19.png爱好 发表于 2025-3-25 01:26:50
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.