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Digital Image Processing for Medical Applications

ISBN-10: 0521860857

ISBN-13: 9780521860857

Edition: 2009

Authors: Geoff Dougherty

List price: $102.00
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Description:

Image processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from www.cambridge.org/books/dougherty.
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Book details

List price: $102.00
Copyright year: 2009
Publisher: Cambridge University Press
Publication date: 4/9/2009
Binding: Hardcover
Pages: 459
Size: 6.75" wide x 9.50" long x 1.00" tall
Weight: 2.684
Language: English

Geoff Dougherty is Professor of Applied Physics and Medical Imaging at California State University Channel Islands, where he teaches both undergraduate and graduate courses in image analysis, pattern recognition and medical imaging. He has been conducting research in the applications of image processing and analysis to medical images for over 20 years. In 2009 he was awarded a Fulbright Senior Scholarship to undertake research in Brisbane, Australia. He has published numerous articles in international journals, and is the author of several book chapters and a textbook in image analysis. He is a Fellow of the IET, a Senior Member of the IEEE and a Member of the American Association of Physicists in Medicine (AAPM), and has held positions at Kuwait University, Keele University, Monash University, the Science University of Malaysia (USM) and the Swiss Federal Institute of Technology (ETH).

Preface
Acknowledgements
Introduction to image processing
Introduction
Imaging systems
Objects and images
The digital image processing system
Applications of digital image processing
Exercises
Imaging systems
The human visual pathway
Photographic film
Other sensors
Digitizing an image
The quality of a digital image
Color images
Computer-based activities
Exercises
Medical images obtained with ionizing radiation
Medical imaging modalities
Images from x-rays
Images from y-rays
Dose and risk
Computer-based activities
Exercises
Medical images obtained with non-ionizing radiation
Ultrasound imaging
Magnetic resonance imaging
Picture archiving and communication systems (PACS)
Computer-based activities
Exercises
Fundamental concepts of image processing
Fundamentals of digital image processing
The gray-level histogram
Histogram transformations and look-up tables
Computer-based activities
Exercises
Image enhancement in the spatial domain
Algebraic operations
Logical (Boolean) operations
Geometric operations
Convolution-based operations
Computer-based activities
Exercises
Image enhancement in the frequency domain
The Fourier domain
The Fourier transform
Properties of the Fourier transform
Sampling
Cross-correlation and autocorrelation
Imaging systems - point spread function and optical transfer function
Frequency domain filters
Tomographic reconstruction
Computer-based activities
Exercises
Image restoration
Image degradation
Noise
Noise-reduction filters
Blurring
Modeling image degradation
Geometric degradations
Computer-based activities
Exercises
Image analysis
Morphological image processing
Mathematical morphology
Morphological operators
Extension to grayscale images
Computer-based activities
Exercises
Image segmentation
What is segmentation?
Thresholding
Region-based methods
Boundary-based methods
Other methods
Computer-based activities
Exercises
Feature recognition and classification
Object recognition and classification
Connected components labeling
Features
Object recognition and classification
Statistical classification
Structural/syntactic classification
Applications in medical image analysis
Computer-based activities
Exercises
Three-dimensional visualization
Image visualization
Surface rendering
Volume rendering
Virtual reality
Computer-based activities
Exercises
Medical applications and ongoing developments
Medical applications of imaging
Computer-aided diagnosis in mammography
Tumor imaging and treatment
Angiography
Bone strength and osteoporosis
Tortuosity
Frontiers of image processing in medicine
Trends
The last word
The Fourier series and Fourier transform
Set theory and probability
Shape and texture
Bibliography
Index