Medical Image Processing

Handbook of Medical Image Processing and Analysis
This handbook present concept and digital techniques for processing and analyzing medical images after they have been generated or digitized. It is organized into six sections that correspond to the fundamental classes of algorithms: enhancement, segmentation, quantification, registration, visualization, and a section that covers compression, storage, and communication. The discoveries of seminal physical phenomena such as X-rays, ultrasound, radioactivity, and magnetic resonance, and the development of imaging instruments that harness them have provided some of the most effective diagnostic tools in medicine. The medical imaging community is now able to probe into the structure, function, and pathology of the human body with a diversity of imaging systems. These systems are alsoused for planning treatment and surgery, as well as for imaging in biology. Data sets in two, three, or more dimensions convey increasingly vast and detailed information for clinical orresearch applications. This information has to be interpreted in a timely and accurate manner to benefit health care.
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