
- 455 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
A widely used, classroom-tested text, Applied Medical Image Processing: A Basic Course delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field. Avoiding excessive mathematical formalisms, the book presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data and illustrations on downloadable resources or companion website. Organized as a complete textbook, it provides an overview of the physics of medical image processing and discusses image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstruction.
This Second Edition of the bestseller:
- Contains two brand-new chapters on clinical applications and image-guided therapy
- Devotes more attention to the subject of color space
- Includes additional examples from radiology, internal medicine, surgery, and radiation therapy
- Incorporates freely available programs in the public domain (e.g., GIMP, 3DSlicer, and ImageJ) when applicable
Beneficial to students of medical physics, biomedical engineering, computer science, applied mathematics, and related fields, as well as medical physicists, radiographers, radiologists, and other professionals, Applied Medical Image Processing: A Basic Course, Second Edition is fully updated and expanded to ensure a perfect blend of theory and practice.
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Table of Contents
- Foreword
- Preface to the First Edition
- Preface to the Second Edition
- User Guide
- Acknowledgments
- CHAPTER 1 ▪ A Few Basics of Medical Image Sources
- CHAPTER 2 ▪ Image Processing in Clinical Practice
- CHAPTER 3 ▪ IMAGE REPRESENTATION
- CHAPTER 4 ▪ Operations in Intensity Space
- CHAPTER 5 ▪ FILTERING AND TRANSFORMATIONS
- CHAPTER 6 ▪ Segmentation
- CHAPTER 7 ▪ Spatial Transforms
- CHAPTER 8 ▪ Rendering and Surface Models
- CHAPTER 9 ▪ Registration
- CHAPTER 10 ▪ CT Reconstruction
- CHAPTER 11 ▪ A Tutorial on Image-Guided Therapy
- CHAPTER 12 ▪ A Selection of MATLAB® Commands
- Glossary
- MATLAB sample scripts
- Epilogue