Guide to Medical Image Analysis
Methods and Algorithms
Seiten
2014
Springer London Ltd (Verlag)
978-1-4471-6096-0 (ISBN)
Springer London Ltd (Verlag)
978-1-4471-6096-0 (ISBN)
This book presents a comprehensive overview of medical image analysis. describes a range of common imaging techniques, reconstruction techniques and image artefacts; presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing;
This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features: presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques, reconstruction techniques and image artefacts; discusses the archival and transfer of images, including the HL7 and DICOM standards; presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing; examines various feature detection and segmentation techniques, together with methods for computing a registration or normalisation transformation; explores object detection, as well as classification based on segment attributes such as shape and appearance; reviews the validation of an analysis method; includes appendices on Markov random field optimization, variational calculus and principal component analysis.
This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features: presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques, reconstruction techniques and image artefacts; discusses the archival and transfer of images, including the HL7 and DICOM standards; presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing; examines various feature detection and segmentation techniques, together with methods for computing a registration or normalisation transformation; explores object detection, as well as classification based on segment attributes such as shape and appearance; reviews the validation of an analysis method; includes appendices on Markov random field optimization, variational calculus and principal component analysis.
Dr. Klaus D. Toennies is a Professor of Image Processing and Pattern Recognition at the Department of Simulation and Graphics of the Otto-von-Guericke University of Magdeburg, Germany.
The Analysis of Medical Images.- Digital Image Acquisition.- Image Storage and Transfer.- Image Enhancement.- Feature Detection.- Segmentation: Principles and Basic Techniques.- Segmentation in Feature Space.- Segmentation as a Graph Problem.- Active Contours and Active Surfaces.- Registration and Normalization.- Detection and Segmentation by Shape and Appearance.- Classification and Clustering.- Validation.- Optimisation of Markov Random Fields.- Variational Calculus.- Principal Component Analysis.- References.
Erscheint lt. Verlag | 13.4.2014 |
---|---|
Reihe/Serie | Advances in Pattern Recognition |
Zusatzinfo | XX, 468 p. |
Verlagsort | England |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Medizinische Fachgebiete ► Radiologie / Bildgebende Verfahren ► Radiologie | |
Schlagworte | classification • Image Processing • Medical Image Analysis • Object detection • registration • Segmentation |
ISBN-10 | 1-4471-6096-7 / 1447160967 |
ISBN-13 | 978-1-4471-6096-0 / 9781447160960 |
Zustand | Neuware |
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