The recent development of advanced computer graphic techniques has significantly contributed to the design of new image processing and image analysis algorithms. Most image processing workstations rely nowadays on sophisticated computer graphics for the simplification of user interactions and for the enhancement of the display of the results. In this paper we would like to outline some of the characteristics and advantages of graphic oriented user interfaces for medical image processing and analysis. Also we will review some of the new approaches in displaying complex analysis results in color coded parametric images. The use of graphics and color coded images can significantly improve the practicability of medical image analysis and allow an easier access to sophisticated quantitative algorithms for non computer-oriented clinicians.
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- USA O. Ratib
- O. Ratib
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- Centre Universitaire d’Informatique, Université de Genève, 12 rue du Lac, CH-1207, Genève, Switzerland Nadia Magnenat-Thalmann
- Laboratoire d’Infographie, Département d’Informatique, Ecole Polytechnique Fédérale de Lausanne, CH-1015, Lausanne, Switzerland Daniel Thalmann
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Ratib, O. (1988). Computer Graphic Techniques Applied to Medical Image Analysis. In: Magnenat-Thalmann, N., Thalmann, D. (eds) New Trends in Computer Graphics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83492-9_49
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- DOI : https://doi.org/10.1007/978-3-642-83492-9_49
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