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

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Image-based haemodynamics simulation in intracranial aneurysmsnal Fluid Dynamics techniques to approximate the complex blood flow characteristics of healthy and diseased vessels. Advances in image quality, algorithmic sophistication and computing power are enabling the introduction of such technology not only as a biomedical research tool but also for clinical

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Atlas-based Segmentationtures 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

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Integration of Topological Constraints in Medical Image Segmentationological “defects” or departures from the true topology of a structure due to segmentation errors can greatly reduce the utility of anatomical models. In this chapter we cover methods for integrating topological constraints into segmentation procedures in order to generate geometrically accurate and

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Non-rigid registration using free-form deformationsdeformations 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

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Book 2015o-markers. It covers five crucial thematic areas: methodologies, statistical and physiological models, biomedical perception, clinical biomarkers, and emerging modalities and domains. .The dominant state-of-the-art methodologies for content extraction and interpretation of medical images include fuz

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Fuzzy methods in medical imagingn making. In this chapter, we provide an overview of the potential of this theory in medical imaging, in particular for classification, segmentation and recognition of anatomical and pathological structures.

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Geometric Deformable Modelsen recent developments on topology, prior shape, intensity and motion, resolution, efficiency, robust optimization, and multiple objects are reviewed. Key equations and motivating and demonstrative examples are provided for many methods and guidelines for appropriate use are noted.

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Active Shape and Appearance Modelsinstance 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 models and the matching algorithms, and give examples of their use.