Applied Medical Image Processing: A Basic Course (2nd Revised edition)

Applied Medical Image Processing: A Basic Course (2nd Revised edition)

By: Wolfgang Birkfellner (author)Hardback

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Description

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(R)/Octave scripts with image data and illustrations on an accompanying CD-ROM 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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About Author

Wolfgang Birkfellner studied theoretical physics at, and holds a Ph.D in medical physics from, the University of Vienna, Austria. Currently, he is heading the Digital Image Processing Laboratory at the Center for Biomedical Engineering and Physics at the Medical University of Vienna. He is also a reviewer and editorial board member for major journals in the field, program committee member for international conferences, and principal investigator for several third-party funded research projects. Previously, he served as senior researcher at the University Hospital Basel/Switzerland and associate professor of medical physics at the Center for Biomedical Engineering and Physics of Vienna Medical School.

Contents

List of Figures List of Tables Foreword Preface to the First Edition Preface to the Second Edition User Guide Acknowledgments Chapter 1: A Few Basics of Medical Image Sources Radiology The Electromagnetic Spectrum Basic X-Ray Physics Attenuation and Imaging Computed Tomography Magnetic Resonance Tomography Ultrasound Nuclear Medicine and Molecular Imaging Other Imaging Techniques Radiation Protection and Dosimetry Summary and Further References Chapter 2: Image Processing in Clinical Practice Application Examples Image Databases Intensity Operations Filter Operations Segmentation Spatial Transforms Rendering and Surface Models Registration CT Reconstruction Summary Chapter 3: Image Representation Pixels and Voxels Gray Scale and Color Representation Image File Formats DICOM Other Formats - Analyze 7.5, NIfTI, and Interfile Image Quality and the Signal-to-Noise Ratio Practical Lessons Summary and Further References Chapter 4: Operations in Intensity Space The Intensity Transform Function and the Dynamic Range Windowing Histograms and Histogram Operations Dithering and Depth Practical Lessons Summary and Further References Chapter 5: Filtering and Transformations The Filtering Operation The Fourier Transform Other Transforms Practical Lessons Summary and Further References Chapter 6: Segmentation The Segmentation Problem ROI Definition and Centroids Thresholding Region Growing More Sophisticated Segmentation Methods Morphological Operations Evaluation of Segmentation Results Practical Lessons Summary and Further References Chapter 7: Spatial Transforms Discretization - Resolution and Artifacts Interpolation and Volume Regularization Translation and Rotation Reformatting Tracking and Image-Guided Therapy Practical Lessons Summary and Further References Chapter 8: Rendering and Surface Models Visualization Orthogonal and Perspective Projection, and the Viewpoint Raycasting Surface-Based Rendering Practical Lessons Summary and Further References Chapter 9: Registration Fusing Information Registration Paradigms Merit Functions Optimization Strategies Some General Comments Camera Calibration Registration to Physical Space Evaluation of Registration Results Practical Lessons Summary and Further References Chapter 10: CT Reconstruction Introduction Radon Transform Algebraic Reconstruction Some Remarks on Fourier Transform and Filtering Filtered Backprojection Practical Lessons Summary and Further References Chapter 11: A Tutorial on Image Guided Therapy A Hands-On Approach to Camera Calibration and Image-Guided Therapy Transformations Camera Calibration Image-Guided Therapy, Introduction Image-Guided Therapy, Navigation System Image-Guided Therapy, Theory in Practice Summary Chapter 12: A Selection of MATLAB(R) Commands Control Structures and Operators I/O and Data Structures Mathematical Functions Further References Index

Product Details

  • publication date: 01/04/2014
  • ISBN13: 9781466555570
  • Format: Hardback
  • Number Of Pages: 455
  • ID: 9781466555570
  • weight: 1156
  • ISBN10: 1466555572
  • edition: 2nd Revised edition

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