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Bayesian identification of a physiological model in dynamic scintigraphic data

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Information Processing in Medical Imaging (IPMI 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 687))

Abstract

The report summarizes theoretical background and demonstrates experimental results of an objective procedure for a quantitative evaluation of dynamic scintigraphic data. The method is based on a Bayesian interpretation of a linear regression model and used for an automatic identification of a compartment structure in image data, objective derivation of regional time-activity curves, and subsequent estimation of both the structure and function of an underlying compartmental model.

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Harrison H. Barrett A. F. Gmitro

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© 1993 Springer-Verlag Berlin Heidelberg

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Šámal, M., Kárný, M., Zahálka, D. (1993). Bayesian identification of a physiological model in dynamic scintigraphic data. In: Barrett, H.H., Gmitro, A.F. (eds) Information Processing in Medical Imaging. IPMI 1993. Lecture Notes in Computer Science, vol 687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0013803

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  • DOI: https://doi.org/10.1007/BFb0013803

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56800-1

  • Online ISBN: 978-3-540-47742-6

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