Abstract
Medical images are different from other pictures in that they depict distributions of various physical features measured from the human body. They show attributes that are otherwise inaccessible. Furthermore, the analysis of such images is guided by very specific expectations, which gave rise to acquiring the images in the first place. This has consequences on the kind of analysis and on the requirements for algorithms that carry out some or all of the analysis. Image analysis as part of the clinical workflow will be discussed in this chapter as well as the types of tools that exist to support the development and carrying out of such an analysis. We will conclude with an example for the solution of an analysis task to illustrate important aspects for the development of methods for analyzing medical images.
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© 2012 Springer-Verlag London Limited
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Toennies, K.D. (2012). The Analysis of Medical Images. In: Guide to Medical Image Analysis. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-2751-2_1
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DOI: https://doi.org/10.1007/978-1-4471-2751-2_1
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2750-5
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