Titlebook: 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy; Jan Ehrhardt,Cristian Lorenz Book 2013 Springer-Verlag Berlin Heid

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Basic Concepts in Tree Based Methods,n fields are directly extracted from 4D (.) image sequences, often without concerning knowledge about anatomy and physiology in detail. In contrast, biophysical approaches aim at identification of anatomical and physiological aspects of breathing dynamics that are to be modeled. In the context of ra

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Other Multicast Routing Methods,n works on a sparse set of image locations. Therefore, it needs an explicit step of interpolation to supply a dense deformation field. In this chapter, the application of feature-based registration to pulmonary image registration as well as hybrid methods, combining feature-based with intensity-base

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Important Rare Neuroimmunological Diseases,he-art. First, we lay out the basic principles of deformable registration. Next, the key components of the registration framework are discussed in detail and two popular algorithms for deformable registration are described as an example. We review past studies on respiratory motion estimation for ra

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https://doi.org/10.1007/978-3-642-60870-4very, and assessment of therapy for lung or other thoracic diseases. While rigid registration is well suited to validation and has reached a mature state in clinical applications, for non-rigid registration no gold-standard exists. This chapter investigates the validation of non-rigid registration a

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A Brief History of Permutation Methods, markers can be used, but this involves an invasive procedure and has a number of other associated risks and problems. An alternative option is to use a correspondence model. This models the relationship between a respiratory surrogate signal(s), such as spirometry or the displacement of the skin su

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