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Tracer Kinetic Modeling by Morales-Smith Hypothesis in Hepatic Perfusion CT

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Abdominal Imaging. Computational and Clinical Applications (ABD-MICCAI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7601))

Abstract

Most of the existing tracer kinetic models for dynamic contrast-enhanced CT or MRI do not fully describe the principles of intra- and transcapillary transport of tracers. One point is to disregard the concentration profiles between the inlets and outlets of capillaries, which may cause a biased estimation of tissue parameters by a systematic error. The Morales-Smith hypothesis enables one to resolve this ambiguity by assuming that the difference between arterial and venous concentrations is proportional to the difference between the arterial and capillary concentrations. If the backflow of administered tracer into the plasma compartment is negligible compared to its outflow into the interstitial compartment during the initial enhancement phase after tracer administration, the capillary concentration can be considered to fall exponentially along the capillary from the arterial concentration to the venous concentration by the Renkin-Crone model, i.e., unidirectional extraction fraction, which can be incorporated in the concept of the Morales-Smith hypothesis. In this study, we reformed the mass-balance equations and mathematical solutions of several representative and well-known tracer kinetic models so that the Morales-Smith hypothesis could be incorporated into their compartment tracer kinetics, considering a tissue-specific factor independent of time as proposed by Brix et al. [5]. The tissue-specific factor was applied to a liver tumor case study in perfusion CT to illustrate the potential effectiveness of the Morales-Smith hypothesis. The proposed scheme was shown to be potentially useful for more consistent and reliable estimation of physiologic tissue parameters.

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References

  1. Pandharipande, P.V., Krinsky, G.A., Rusinek, H., Lee, V.S.: Perfusion Imaging of the Liver: Current Challenge and Future Goals. Radiology 234, 661–673 (2005)

    Article  Google Scholar 

  2. Sahani, D.V., Holalkere, N.S., Mueller, P.R., Zhu, A.X.: Advanced Hepatocellular Carcinoma: CT Perfusion of Liver and Tumor Tissue - Initial Experience. Radiology 243, 736–743 (2007)

    Article  Google Scholar 

  3. Koh, T.S., Thng, C.H., Lee, P.S., Hartono, S., Rumpel, H., Goh, B.C., Bisdas, S.: Hepatic Metastases: In Vivo Assessment of Perfusion Parameters at Dynamic Contrast-Enhanced MR Imaging with Dual-Input Two-Compartment Tracer Kinetics Model. Radiology 249, 307–320 (2008)

    Article  Google Scholar 

  4. Van Beers, B.E., Leconte, I., Materne, R., Smith, A.M., Jamart, J., Horsmans, Y.: Hepatic Perfusion Parameters in Chronic Liver Disease: Dynamic CT Measurements Correlated with Disease Severity. Am. J. Roentgenol. 176, 667–673 (2001)

    Google Scholar 

  5. Brix, G., Zwick, S., Kiessling, F., Griebel, J.: Pharmacokinetic Analysis of Tissue Microcirculation Using Nested Models: Multimodel Inference and Parameter Identifiability. Med. Phys. 36, 2923–2933 (2009)

    Article  Google Scholar 

  6. Tofts, P.S.: Modeling Tracer Kinetics in Dynamic Gd-DTPA MR Imaging. J. Magn. Reson. Imaging 7, 91–101 (1997)

    Article  Google Scholar 

  7. Tofts, P.S., Brix, G., Buckley, D.L., Evelhoch, J.L., Henderson, E., Knopp, M.V., Larsson, H.B., Lee, T.Y., Mayr, N.A., Parker, G.J., Port, R.E., Taylor, J., Weisskoff, R.M.: Estimating Kinetic Parameters from Dynamic Contrast-Enhanced T(1)-Weighted MRI of a Diffusable Tracer: Standardized Quantities and Symbols. J. Magn. Reson. Imaging 10, 223–232 (1999)

    Article  Google Scholar 

  8. St. Lawrence, K.S., Lee, T.Y.: An Adiabatic Approximation to the Tissue Homogeneity Model for Water Exchange in the Brain: I. Theoretical Derivation. J. Cereb. Blood Flow Metab. 18, 1365–1377 (1998)

    Article  Google Scholar 

  9. Lee, S., Kim, J., Cho, J., Kim, S., Song, I., Kim, H., Kim, S.: Multifarious Kinetic Analysis for Differentiation of Prostate Cancer and Benign Prostatic Hyperplasia in DCE-MRI. In: Proc. Intl. Soc. Mag. Reson. Med., vol. 19, p. 2639 (2011)

    Google Scholar 

  10. Morales, M., Smith, R.E.: On the Theory of Blood-Tissue Exchange of Inert Gases: VI. Validity of Approximate Uptake Expressions. Bull. Math. Biophys. 10, 191–200 (1948)

    Article  Google Scholar 

  11. Renkin, E.M.: Transport of Potassium-42 from Blood to Tissue in Isolated Mammalian Skeletal Muscles. Am. J. Physiol. 197, 1205–1210 (1959)

    Google Scholar 

  12. Crone, C.: The Permeability of Capillaries in Various Organs as Determined by Use of the ’Indicator Diffusion’ Method. Acta. Physiol. Scand. 58, 292–305 (1963)

    Article  Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Lee, S.H., Cai, W., Yoshida, H. (2012). Tracer Kinetic Modeling by Morales-Smith Hypothesis in Hepatic Perfusion CT. In: Yoshida, H., Hawkes, D., Vannier, M.W. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2012. Lecture Notes in Computer Science, vol 7601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33612-6_31

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  • DOI: https://doi.org/10.1007/978-3-642-33612-6_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33611-9

  • Online ISBN: 978-3-642-33612-6

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