Modelling and representation of myocardial perfusion images for the evaluation of diagnostic properties
- 24 Downloads
Medical imaging is usually performed in such a way that for a particular type of examination the global structure of the resulting images will be more or less the same. A model can be developed to describe such a class of images. By using this model, images can be described by a set of parameters which define possible variations of the common image structure. In this way the essential image information is made easily accessible for further processing, while a large amount of invariant image data is deleted. This representation method has been applied to thallium-201 myocardial scintigrams. After normalising the image descriptions obtained, a mean normal image could be defined. By matching this with a given image set, the diagnostic importance of the described image properties could be estimated. Furthermodre, it is shown that images can be reconstructed from their descriptions with good resemblance to the originals. With an artificially composed set of images an experiment was performed to evaluate the influence of the image properties on human visual analysis. Experimental results corresponded to those obtained by objective image analysis.
KeywordsFeature analysis Image representation Medical imaging
Unable to display preview. Download preview PDF.
- Conners, R. W. (1985) Computer vision in digital radiography.In Lemke, H. U. et al. (Eds.),Computer assisted radiology, (Springer-Verlag, Berlin) 451–459.Google Scholar
- Duncan, J. S. (1985) The analysis of cardiac performance using multimodality image understanding.In Lemke, H. U.,et al. (Eds.),Computer assisted radiology. (Springer-Verlag, Berlin) 507–518.Google Scholar
- Eijkman, E. G. J. (1980)Psychophysics. Handbook of Psychomics I. (North Holland, Amsterdam) 303–363.Google Scholar
- Green, D. M. andSwets, J. A. (1966)Signal detection and psychophysics, (Wiley, New York).Google Scholar
- Rosenfeld, A. andKak, A. C. (1982)Digital picture processing, Vol. 2. (Academic Press, New York).Google Scholar