Pattern Recognition and Signal Analysis in Medical Imaging

✍ Scribed by Anke Meyer-Baese and Volker J Schmid (Auth.)

• Publisher: Academic Press
• Year: 2014
• Tongue: English
• Leaves: 447
• Edition: 2
• Category: Library

✦ Synopsis

Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data.

Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine.

This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging.

• New edition has been expanded to cover signal analysis, which was only superficially covered in the first edition
• New chapters cover Cluster Validity Techniques, Computer-Aided Diagnosis Systems in Breast MRI, Spatio-Temporal Models in Functional, Contrast-Enhanced and Perfusion Cardiovascular MRI
• Gives readers an unparalleled insight into the latest pattern recognition and signal analysis technologies, modeling, and applications

✦ Table of Contents

Content:
Pattern Recognition and Signal Analysis in Medical Imaging, Page i
Pattern Recognition and Signal Analysis in Medical Imaging, Page iii
Copyright, Page iv
Dedication, Page v
Foreword, Pages xi-xii
Preface, Pages xiii-xv
Acknowledgments, Page xvii
List of Symbols, Pages xix-xxi
Chapter 1 - Introduction, Pages 1-20
Chapter 2 - Feature Selection and Extraction, Pages 21-69
Chapter 3 - Subband Coding and Wavelet Transform, Pages 71-111
Chapter 4 - The Wavelet Transform in Medical Imaging, Pages 113-134
Chapter 5 - Genetic Algorithms, Pages 135-149
Chapter 6 - Statistical and Syntactic Pattern Recognition, Pages 151-196
Chapter 7 - Foundations of Neural Networks, Pages 197-243
Chapter 8 - Transformation and Signal-Separation Neural Networks, Pages 245-289
Chapter 9 - Neuro-Fuzzy Classification, Pages 291-323
Chapter 10 - Specialized Neural Networks Relevant to Bioimaging, Pages 325-351
Chapter 11 - Spatio-Temporal Models in Functional and Perfusion Imaging, Pages 353-367
Chapter 12 - Analysis of Dynamic Susceptibility Contrast MRI Time-Series Based on Unsupervised Clustering Methods, Pages 369-389
Chapter 13 - Computer-Aided Diagnosis for Diagnostically Challenging Breast Lesions in DCE-MRI, Pages 391-420
Glossary, Pages 421-422
References, Pages 423-439
Index, Pages 441-444