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Encyclopedia of Computational Neuroscience pp 1–14Cite as

Kinetic Models for PET/SPECT Imaging

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Synonyms

Compartment model for nuclear medicine; Kinetic analysis for PET/SPECT imaging

Definition

PET/SPECT is an in vivo imaging technique used to quantitate the biodistribution of specific molecules labeled with radioisotopes termed radiotracers, radiopharmaceuticals, or radioligands. A kinetic model is a mathematical expression of the kinetics of radiotracers between compartments, usually defined as the virtual chamber of organs/tissues or as states of the radiotracer. The influx or efflux rate of the radiotracer concentration between compartments is expressed as the product of the concentration of the radiotracer and the transfer constant and is known as the rate constant. Applying the numerical time course of the radiotracer concentration, arranged by the kinetic model to measure the dynamic PET/SPECT images, the rate constant between compartments, or the combined rate constants can be mathematically estimated as a physiological function. These physiological parameters can be...

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Author information

Authors and Affiliations

  1. Division of Medical Physics, Tohoku University School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan

    Miho Shidahara Ph.D.

  2. Division of Radiation Protection and Safety Control, Cyclotron Radioisotope Center, Tohoku University, Sendai, Japan

    Hiroshi Watabe

  3. Molecular Imaging Center, National Institute of Radiological Sciences, Chiba, Japan

    Iwao Kanno

Authors
  1. Miho Shidahara Ph.D.
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  2. Hiroshi Watabe
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  3. Iwao Kanno
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Corresponding author

Correspondence to Miho Shidahara Ph.D. .

Editor information

Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

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Shidahara, M., Watabe, H., Kanno, I. (2014). Kinetic Models for PET/SPECT Imaging. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_526-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_526-1

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

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