Applied Medical Image Processing: A Basic Course

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Product Description

Based on the authors �� decades-long tenure in clinical environments and their extensive teaching experience, Applied Medical Image Processing: A Basic Course introduces the basic methods in applied image processing without assuming that readers have extensive prior knowledge beyond basic applied mathematics, physics, and programming. Illustrated with simple, well-commented MATLAB� examples, the book s tangible and accessible presentation demonstrates real-life applications.

The rapid evolution of radiological imaging in the past four decades has brought medical image processing into the forefront as an essential tool for clinical research, a crucial component of modern diagnostics, and an indispensable element the actual treatment of diseases. A hands-on introduction to the basic image processing algorithms used in clinical routine applications, Applied Medical Image Processing: A Basic Course closes the gap between basic engineering knowledge such as simple programming and applied mathematics on the one hand, and the general understanding of a science that affects the health of a broad public.

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Applied Medical Image Processing: A Basic Course Review

This is a good introduction to medical imaging. It is intended for those who would like to understand something about the inner workings of medical image processing algorithms. There are a number of exercises at the ends of the chapters which help to illustrate the material covered. These exercises can be undertaken using MATLAB software, or the program OCTAVE (which is a free "clone" of MATLAB). The book will be most useful to those who have a good grounding in undergraduate physics and math. With the requisite background, you can concentrate on learning the image processing and its medical aspects. For example, if you have never encountered Fourier Transforms before, the development in this book may be a bit sketchy for you.

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