
Digital Image Processing for Medical Applications
Hardcover | 9 April 2009
At a Glance
459 Pages
25.5 x 18 x 2.5
Hardcover
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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.
Industry Reviews
'This is a book that delivers far more than its title would suggest. The author has succeeded in covering the subject of digital image processing in a way that makes it a valuable reference for those engaged in producing a visual rendering of data gathered from a wide range of sources where the output of instruments is collected and stored by computer ... written in a very clear style ... an excellent reference work on image processing in the science based applications extending beyond the medical field.' The Imaging Science Journal
'The author states that this book is intended for biomedical engineers, computer scientists, radiological scientists, and physicists. It is my opinion that the quality of this book extends that list to medical physicists, digital artists, digital animators, and art restoration professionals. It also would be appropriate for graduate students in these disciplines who have an interest in the mathematical and computer-based manipulation of all types of imaging ... This book is well written, hangs together as a complete work, is coherent, easy to read, and makes good on its claims set forth in the preface and introduction ... The examples, illustrations, and chapter constructions are outstanding. The two middle sections of the book are its forte, and the index is useful and complete. This book is a must for anyone going into image processing - period.' William Davros, Medical Physics
''Digital image processing is a vast field. Even applications in medical imaging cover a very wide spectrum of activities. These can range from simple calculations of image profiles to complex CT reconstruction. Geoff Dougherty's book manages to condense the enormous digital image processing toolbox to a level that is ideal for someone with background in medical imaging wishing to explore this field. Getting the level correct is always difficult, but Professor Dougherty's vast teaching experience is clearly evident throughout the book. Relatively simple mathematics is used, but only where necessary. A particularly attractive aspect of the book are the computer-based activities in each chapter which give the reader 'hands-on' image processing experience. It is also an ideal starter textbook for a scientist proposing to specialise in medical image processing; the bibliography is impressive and up to date. It's the book I'd like to have read starting out in medical image processing some twenty-five years ago!' Patrick Kenny, Mater Misericordiae University Hospital, Dublin
| Preface | p. ix |
| Acknowledgements | p. xiii |
| Introduction to image processing | p. 1 |
| Introduction | p. 3 |
| Imaging systems | p. 3 |
| Objects and images | p. 7 |
| The digital image processing system | p. 10 |
| Applications of digital image processing | p. 13 |
| Exercises | p. 15 |
| Imaging systems | p. 16 |
| The human visual pathway | p. 16 |
| Photographic film | p. 20 |
| Other sensors | p. 26 |
| Digitizing an image | p. 27 |
| The quality of a digital image | p. 34 |
| Color images | p. 40 |
| Computer-based activities | p. 43 |
| Exercises | p. 45 |
| Medical images obtained with ionizing radiation | p. 47 |
| Medical imaging modalities | p. 47 |
| Images from x-rays | p. 48 |
| Images from y-rays | p. 77 |
| Dose and risk | p. 84 |
| Computer-based activities | p. 86 |
| Exercises | p. 87 |
| Medical images obtained with non-ionizing radiation | p. 90 |
| Ultrasound imaging | p. 91 |
| Magnetic resonance imaging | p. 100 |
| Picture archiving and communication systems (PACS) | p. 115 |
| Computer-based activities | p. 118 |
| Exercises | p. 120 |
| Fundamental concepts of image processing | p. 121 |
| Fundamentals of digital image processing | p. 123 |
| The gray-level histogram | p. 123 |
| Histogram transformations and look-up tables | p. 135 |
| Computer-based activities | p. 148 |
| Exercises | p. 151 |
| Image enhancement in the spatial domain | p. 155 |
| Algebraic operations | p. 156 |
| Logical (Boolean) operations | p. 159 |
| Geometric operations | p. 162 |
| Convolution-based operations | p. 170 |
| Computer-based activities | p. 189 |
| Exercises | p. 191 |
| Image enhancement in the frequency domain | p. 194 |
| The Fourier domain | p. 195 |
| The Fourier transform | p. 198 |
| Properties of the Fourier transform | p. 205 |
| Sampling | p. 207 |
| Cross-correlation and autocorrelation | p. 217 |
| Imaging systems - point spread function and optical transfer function | p. 219 |
| Frequency domain filters | p. 223 |
| Tomographic reconstruction | p. 231 |
| Computer-based activities | p. 237 |
| Exercises | p. 243 |
| Image restoration | p. 246 |
| Image degradation | p. 246 |
| Noise | p. 247 |
| Noise-reduction filters | p. 252 |
| Blurring | p. 258 |
| Modeling image degradation | p. 260 |
| Geometric degradations | p. 263 |
| Computer-based activities | p. 268 |
| Exercises | p. 269 |
| Image analysis | p. 271 |
| Morphological image processing | p. 273 |
| Mathematical morphology | p. 273 |
| Morphological operators | p. 275 |
| Extension to grayscale images | p. 295 |
| Computer-based activities | p. 301 |
| Exercises | p. 305 |
| Image segmentation | p. 309 |
| What is segmentation? | p. 309 |
| Thresholding | p. 311 |
| Region-based methods | p. 321 |
| Boundary-based methods | p. 324 |
| Other methods | p. 326 |
| Computer-based activities | p. 335 |
| Exercises | p. 338 |
| Feature recognition and classification | p. 339 |
| Object recognition and classification | p. 340 |
| Connected components labeling | p. 340 |
| Features | p. 342 |
| Object recognition and classification | p. 348 |
| Statistical classification | p. 351 |
| Structural/syntactic classification | p. 364 |
| Applications in medical image analysis | p. 364 |
| Computer-based activities | p. 367 |
| Exercises | p. 367 |
| Three-dimensional visualization | p. 369 |
| Image visualization | p. 369 |
| Surface rendering | p. 370 |
| Volume rendering | p. 374 |
| Virtual reality | p. 376 |
| Computer-based activities | p. 377 |
| Exercises | p. 377 |
| Medical applications and ongoing developments | p. 379 |
| Medical applications of imaging | p. 381 |
| Computer-aided diagnosis in mammography | p. 381 |
| Tumor imaging and treatment | p. 385 |
| Angiography | p. 386 |
| Bone strength and osteoporosis | p. 388 |
| Tortuosity | p. 389 |
| Frontiers of image processing in medicine | p. 395 |
| Trends | p. 395 |
| The last word | p. 398 |
| The Fourier series and Fourier transform | p. 399 |
| Set theory and probability | p. 405 |
| Shape and texture | p. 423 |
| Bibliography | p. 432 |
| Index | p. 440 |
| Table of Contents provided by Ingram. All Rights Reserved. |
ISBN: 9780521860857
ISBN-10: 0521860857
Published: 9th April 2009
Format: Hardcover
Language: English
Number of Pages: 459
Audience: General Adult
Publisher: Cambridge University Press
Country of Publication: GB
Dimensions (cm): 25.5 x 18 x 2.5
Weight (kg): 1.1
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