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Informationen zum Autor Terry S. Yoo Klappentext A companion to the Insight Toolkit, this is an introduction to the theory of modern medical image processing. It includes analysis of data from X-ray computer tomography, magnetic resonance imaging, nuclear medicine, and ultrasound. Using an algorithmic approach, and providing the mathematical, statistical, or signal processing background as needed, the authors describe the principles of all methods implemented in the Insight Toolkit (ITK), a freely available open-source, object-oriented library. This book emphasizes intuitive descriptions of principles and illustrative examples of results from the leading filtering, segmentation, and registration methods. Zusammenfassung The Insight Toolkit (ITK) is an open source library of object- oriented software components for image processing, data segmentation, and registration; it provides advanced algorithms for filtering, segmentation, and registration of volumetric data. This book provides detailed information on the theory underlying the methods in ITK. Inhaltsverzeichnis Foreword Introduction and Basics 1 Introduction 2 Basic Image Processing and Linear Operators 3 Statistics of Pattern Recognition 4 Nonlinear Image Filtering with Partial Differential Equations II Segmentation 5 Segmentation Basics 6 Fuzzy Connectedness 7 Markov Random Field Models 8 lsosurfaces and Level Sets 9 Deformable Models III Registration 10 Medical Image Registration: Concepts and Implementation 11 Non-Rigid Image Registration IV Hybrid Methods- Mixed Approaches to Segmentation 12 Hybrid Segmentation Methods Index.
