Jan | Medical Image Processing, Reconstruction and Restoration | Buch | 978-0-8247-5849-3 | sack.de

Buch, Englisch, 760 Seiten, Format (B × H): 162 mm x 236 mm, Gewicht: 1148 g

Reihe: Signal Processing and Communications

Jan

Medical Image Processing, Reconstruction and Restoration

Concepts and Methods
1. Auflage 2005
ISBN: 978-0-8247-5849-3
Verlag: Taylor & Francis Inc

Concepts and Methods

Buch, Englisch, 760 Seiten, Format (B × H): 162 mm x 236 mm, Gewicht: 1148 g

Reihe: Signal Processing and Communications

ISBN: 978-0-8247-5849-3
Verlag: Taylor & Francis Inc


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.

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Zielgruppe


Biomedical, electrical, and signal and image processing engineers, medical imaging technicians and technically inclined medical staff; and students and researchers in these and similar application areas


Autoren/Hrsg.


Weitere Infos & Material


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 Projections Reconstruction from Nonideal Projections Other Approaches to Tomographic Reconstruction IMAGE FUSION Ways to Consistency Disparity Analysis Image Registration Image Fusion IMAGE ENHANCEMENT  Contrast Enhancement Sharpening and Edge Enhancement Noise Suppression Geometrical Distortion Correction IMAGE RESTORATION Correction of Intensity Distortions Geometrical Restitution Inverse Filtering Restoration Methods Based on Optimization Homomorphic Filtering and Deconvolution IMAGE ANALYSIS Local Feature Analysis Image Segmentation General Morphological Transforms MEDICAL IMAGE PROCESSING ENVIRONMENT Hardware and Software Features Principles of Image Compression for Archiving    and Communication Present Trends in Medical Image Processing REFERENCES



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