ABSTRACT

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.

chapter 1|44 pages

A Few Basics of Medical Image Sources

chapter 2|14 pages

Image Processing in Clinical Practice

chapter 3|32 pages

Image Representation

chapter 4|24 pages

Operations in Intensity Space

chapter 5|62 pages

Filtering and Transformations

chapter 6|38 pages

Segmentation

chapter 7|36 pages

Spatial Transforms

chapter 8|46 pages

Rendering and Surface Models

chapter 9|42 pages

Registration

chapter 10|32 pages

CT Reconstruction

chapter 11|26 pages

A Tutorial on Image-Guided Therapy

chapter 12|6 pages

A Selection of MATLABR© Commands