Guide to medical image analysis : methods and algorithms / Klaus D. Toennies.
2017
RC78.7.D53
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Details
Title
Guide to medical image analysis : methods and algorithms / Klaus D. Toennies.
Author
Edition
Second edition.
ISBN
9781447173205 (electronic book)
1447173201 (electronic book)
9781447173182
144717318X
1447173201 (electronic book)
9781447173182
144717318X
Published
London, United Kingdom : Springer, 2017.
Language
English
Description
1 online resource (xxii, 589 pages) : illustrations.
Item Number
10.1007/978-1-4471-7320-5 doi
Call Number
RC78.7.D53
Dewey Decimal Classification
616.07/54
Summary
This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. The text presents a concise examination of each of the key concepts, enabling the reader to understand the interdependencies between them before delving deeper into the derivations and technical details. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the original focus on segmentation, classification and registration. Topics and 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 artifacts, and discusses the archival and transfer of images Reviews an expanded selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation (NEW) Examines analysis methods in view of image-based guidance in the operating room, designed to aid the operator in adapting their intervention during an operation (NEW) Discusses the use of deep convolutional networks for segmentation and labeling tasks, describing how this network architecture differs from multi-layer perceptrons (NEW) Includes appendices on Markov random field optimization, variational calculus and principal component analysis This clearly-written guide/reference serves as a classroom-tested textbook for courses on medical image processing and analysis, with suggestions for course outlines supplied in the preface. Professionals in medical imaging technology, as well as computer scientists and electrical engineers specializing in medical applications, will also find the book an ideal resource for self-study.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 6, 2017).
Series
Advances in computer vision and pattern recognition.
Available in Other Form
Print version: 9781447173182
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Table of Contents
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
Shape, Appearance and Spatial Relationships
Classification and Clustering
Validation
Appendix.
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
Shape, Appearance and Spatial Relationships
Classification and Clustering
Validation
Appendix.