Klaus D. Toennies

Guide to Medical Image Analysis

Methods and Algorithms

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Advances in Computer Vision and Pattern Recognition
• Verlag: Springer / Springer London / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4471-6096-0
• 2012
• Seitenzahl: 488
• Erscheinungstermin: 13. April 2014
• Englisch
• Abmessung: 235mm x 155mm x 27mm
• Gewicht: 732g
• ISBN-13: 9781447160960
• ISBN-10: 1447160967
• Artikelnr.: 40763152

Autorenporträt

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.

Inhaltsangabe

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.

Rezensionen

"I am glad to have had the opportunity to review this book, which is suitable for beginners to learn the overall, big picture of medical image analysis. ... the book is very well written with details of the algorithms being described in a way that pupils can easily understand. The exercises and references are reasonable and helpful ... ." (Guang Yang, International Association of Pattern Recognition Newsletter, Vol. 40 (1), January, 2018)

"The book is well written and accurate. The author states that he has made a number of additions and corrections in this new edition; the result is very good. ... it's well suited as a textbook for medical professionals. I am evaluating it for adoption in a medical imaging course, and would recommend it to those in the medical field who want a detailed discussion of medical image analysis." (Computing Reviews, October, 2017)