Abstract
While digital image processing in nuclear medicine until recently consisted in a quality improvement by various filter methods, but left the recognition and classification fully to the human inspection and experience, the proposed test is a step towards automatic pattern recognition and classification. Its practical application is still in the beginning stage, but the success with simulated images lets us assume that it will be helpful in the clinical work.
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References
B.W. Lindgren: Statistical Theory, Macmillan, London (1968)
P. Pistor, G. Walch, H.G. Meder, W.A. Hunt, W.J. Lorenz, A. Amann, P. Georgi, H. Luig, P. Schmidlin, H. Wiebelt: Digital Image Processing in Nuclear Medicine, Kerntechnik 14, 299–306, and 353–359 (1972)
P. Pistor, P. Georgi, G. Walch: The Heidelberg Scintigraphic Image Processing System, Proc. 2. Symposium on Sharing of Computer Programs and Technology in Nuclear Medicine, Oak Ridge National Laboratory (1972)
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© 1973 Springer-Verlag Berlin Heidelberg
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Walch, G. (1973). A classification problem in medical radioscintigraphy. In: Conti, R., Ruberti, A. (eds) 5th Conference on Optimization Techniques Part I. Optimization Techniques 1973. Lecture Notes in Computer Science, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-06583-0_23
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DOI: https://doi.org/10.1007/3-540-06583-0_23
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Online ISBN: 978-3-540-37903-4
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