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.‎