Titlebook: Handbook of Biomedical Imaging; Methodologies and Cl Nikos Paragios,James Duncan,Nicholas Ayache Book 2015 Springer Science+Business Media

irreparable

https://doi.org/10.1007/978-3-662-58462-0 of a structure or set of structures across a population. They can be used to help interpret new images by finding the parameters which best match an instance of the model to the image. Two widely used methods for matching are the Active Shape Model and the Active Appearance Model. We describe the m

疲勞

atopic-rhinitis

Einleitung: Cultural Animal Studies,across a population. However, understanding and modeling the shape of organs is made difficult by the absence of physical models for comparing different subjects, the complexity of shapes, and the high number of degrees of freedom implied. Moreover, the geometric nature of the anatomical features us

Ischemic-Stroke

Johannes Bilstein,Kristin Westphal coupled with medical images which play a crucial role in the diagnosis, planning, control and follow-up of therapy. In this paper, we discuss the issue of building patient-specific physical and physiological models from macroscopic observations extracted from medical images. We illustrate the topic

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HAVOC

生來

Sandra Wesenberg,Frank Nestmanntures or morphological and morphometrical studies. Segmentation in medical imaging is however challenging because of problems linked to low contrast images, fuzzy object-contours, similar intensities with adjacent objects of interest, etc. Using . can help in the segmentation task. A widely used met

OMIT

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Schulische Inklusion und soziale Teilhabeer artifacts, pathologies,…) and geometric (bifurcations) non-linearities. Our method represents vessels/tubular structures as sequences of state vectors (vessel cuts/cross-sections), which are described by the position of the corresponding plane, the center of the vessel in this plane and its radiu

槍支

,Tierethik in der Tiergestützten Therapie,deformations have gained significant popularity in algorithms for the non-rigid registration of medical images. In this chapter we show how free-form deformations can be used in non-rigid registration to model complex local deformations of 3D organs. In particular, we discuss diffeomorphic and non-d