ISBN:0120777908Book Description
In recent years, the remarkable advances in medical imaging instruments have increased their use considerably for diagnostics as well as planning and follow-up of treatment. Emerging from the fields of radiology, medical physics and engineering, medical imaging no longer simply deals with the technology and interpretation of radiographic images. The limitless possibilities presented by computer science and technology, coupled with engineering advances in signal processing, optics and nuclear medicine have created the vastly expanded field of medical imaging. The Handbook of Medical Imaging is the first comprehensive compilation of the concepts and techniques used to analyze and manipulate medical images after they have been generated or digitized. The Handbook is organized in six sections that relate to the main functions needed for processing: enhancement, segmentation, quantification, registration, visualization as well as compression storage and telemedicine.
* Internationally renowned authors(Johns Hopkins, Harvard, UCLA, Yale, Columbia, UCSF)
* Includes imaging and visualization
* Contains over 60 pages of stunning, four-color images/p>
Reviews From AMAZON.COM
Almost complete collection of algorithms
This book is an almost complete collection of algorithms in computer processing of medical images. As an addition to computer processing litterature, this book fills a gap much in need of being closed. The text contains three levels of informating, a scholarly review of each topic, a professional review of methods and their application, and, finally, several chapters for each subject of thorough mathematical descriptions of individual methods and approaches, with useful examples from "real life". The book is divided into six sections: I Enhancement, describing the methods available for enhancing, e.g., noise reduction, window/level processing and grayscale manipulations. II Segmentation, dividing images into usefull subsets for further processing, III Quantification, measuring on images. IV Registration, making different images, both from between different subjects and between different modalities as well as between individuals having imaging studies done on separate occasions. V Visualization, rendering images for views in several different formats, including virtual endoscopies and volume rendering techniques. VI Compression, Storage and Communication, describing methods related to DICOM storage facilities and files, compressing, normalizing grayscale for optimal storage and removing nuisances from images. This book is contains a wealth of information in a handy format, making it an invaluable companion for anyone working in the field of medical image processing. It is also a source of vast information for the interested radiologist, although some may find the extend of mathematical understanding required somewhat overwhelming. Even if the DICOM part of this book does not comprise a large part, the book may be worth its price for this section alone.
Up-to-date information for medical imaging researchers
The editors of this book have done a terrific job. Even though the price is quite high, with 900 pages of state-of-the art and well-illustrated timely and high quality text this volume is a bargain! It is important to focus on the title: this book deals with computer processing and computer analysis of images encountered in medicine and biology. It contains about 50 papers distributed over six sections. The book does not deal with imaging physics nor with reconstruction algorithms. The level is suitable for biomedical engineers, computer scientists, and biomedical researchers. Both the organization and the selection of topics are excellent. Though there are idiosyncrasies in the coverage, the relevance and quality of the papers is very high. This is an ideal book for imaging researchers wishing to learn the state of the art outside their immediate discipline and for students wishing to enter the field. I look forward to seeing other volumes in this series!