Legion 发表于 2025-3-28 16:02:46
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修改 发表于 2025-3-28 22:16:12
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不能仁慈 发表于 2025-3-28 23:47:20
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殖民地 发表于 2025-3-29 06:26:28
http://reply.papertrans.cn/43/4210/420906/420906_44.png打击 发表于 2025-3-29 10:21:31
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-dFLING 发表于 2025-3-29 14:08:58
http://reply.papertrans.cn/43/4210/420906/420906_46.png不适 发表于 2025-3-29 19:15:53
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 fuzGET 发表于 2025-3-29 22:08:49
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.TOM 发表于 2025-3-30 03:19:42
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.Spartan 发表于 2025-3-30 05:43:35
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.