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Klappentext Medical imaging is specific in that it concerns internal structures of organisms that are inaccessible to common imaging methods and that the imaging results are observed! evaluated! and classified mostly by non-technical staff. Development of new image processing methods and the interpretation of complicated or unexpected results require deep understanding of the underlying theory and methods involved in image processing and analysis. The author of this text provides a firm grounding in the principles as well as insight into the way of treating the image material. This book provides readers with consistent reasoning based on a firm grasp of image processing fundamentals! preferring the continuous well understandable explanation rather than strict mathematical formalism. Zusammenfassung It is essential that differently oriented specialists and students involved in image processing have a firm grasp of the necessary concepts and principles. A single-source reference that can provide this foundation! as well as a thorough explanation of the techniques involved! particularly those found in medical image processing! would be an invaluable resource to have. Medical Image Processing! Reconstruction and Restoration: Concepts and Methods is that resource. It not only explains the general principles and methods of image processing! but also focuses on recent applications specific to medical imaging - providing a theoretical yet clear explanation of underlying generic concepts. The content of this book is divided into three parts: Part I! Images as Multidimensional Signals! provides the introduction to basic image processing theory! explaining it for both analogue and digital image representation. Part II! Imaging Systems as Data Sources! offers an alternative view on imaging modalities! with emphasis placed on analyzing internal signals and (pre)image data that are consequently processed. Part III! Image Processing and Analysis! focuses on such vital image processing topics as tomographic image reconstruction! image fusion! methods of image enhancement! and image restoration techniques. This section also explains concepts of fundamental-level image analysis - detailing local feature analysis! image segmentation! and generalized morphological transforms. It also addresses what is needed within the image processing environment by noting necessary hardware and software and processes for image archiving and communications. Inhaltsverzeichnis PART I: IMAGES AS MULTIDIMENSIONAL SIGNALS ANALOGUE (CONTINUOUS-SPACE) IMAGE REPRESENTATION Multidimensional Signals as Image Representation Two-Dimensional Fourier Transform Two-Dimensional Continuous-Space Systems Concept of Stochastic Images DIGITAL IMAGE REPRESENTATION Digital Image Representation Discrete Two-Dimensional Operators Discrete Two-Dimensional Linear Transforms Discrete Stochastic Images REFERENCES PART II: IMAGING SYSTEMS AS DATA SOURCES PLANAR X-RAY IMAGING X-Ray Projection Radiography Subtractive Angiography X-RAY COMPUTED TOMOGRAPHY Imaging Principle and Geometry Measuring Considerations Imaging Properties Postmeasurement Data Processing in Computed Tomography MAGNETIC RESONANCE IMAGING Magnetic Resonance Phenomena Response Measurement and Interpretation Basic MRI Arrangement Localization and Reconstruction of Image Data Image Quality and Artifacts Postmeasurement Data Processing in MRI NUCLEAR IMAGING Planar Gamma Imaging Single-Photon Emission Tomography Positron Emission Tomography ULTRASONOGRAPHY Two-Dimensional Echo Imaging Flow Imaging Three-Dimensional Ultrasonography OTHER MODALITIES Optical and Infrared Imaging Electron Microscopy Electrical Impedance Tomography REFERENCES PART III: IMAGE PROCESSING AND ANALYSIS RECONSTRUCTING TOMOGRAPHIC IMAGES Reconstruction from Near-Ideal Pr...
