Guide to Medical Image Analysis : Methods and Algorithms

Klaus D. Toennies

ISBN 10: 1447160967 / ISBN 13: 9781447160960

Published by Springer London, Springer London, 2014

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781447160960

Bibliographic Details

• Title: Guide to Medical Image Analysis : Methods and Algorithms
• Publisher: Springer London, Springer London
• Publication Date: 2014
• Language: English
• ISBN 10: 1447160967
• ISBN 13: 9781447160960
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 27D millimeters 235 millimeters width by 155 millimeters height by 27 millimeters depth
• Weight: 733 grams

About this title

Synopsis

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.

About the Author

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.