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Medical Image Processing

  • Andrew Todd-Pokropek
Part of the NATO ASI Series book series (volume 4)

Abstract

Medical image processing is a branch of general image processing, and uses techniques, as such, generally available. It has some peculiarities. Loosely, while the signal usually sought in an image processing technique is reasonably well-defined, often, in medical image processing, it is very poorly defined. Instead of attempting to recognise or improve the recognition of, shall we say, tanks from LANDSAT images, a typical medical problem is to detect (or improve the recognition of) a tumour or metastasis within some normal but very variable structure. While a template can readily be determined for a tank, this is much more difficult for a tumour since it does not have well defined characteristics in conventional terms. In other words, although many of the essential problems are similar, e.g. how to optimise signal to noise ratios etc, some of the classic techniques being rather ‘shape’ dependent cannot be used directly. Much of this paper will thus be concerned with attempts to devise suitable ‘descriptions’ after which conventional image processing techniques can be applied.

Keywords

Left Ventricle Medical Image Nuclear Cardiology Digital Radiography Wiener Filter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1983

Authors and Affiliations

  • Andrew Todd-Pokropek
    • 1
  1. 1.Dept. of Medical PhysicsUniversity College LondonLondon WC1UK

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