A Statistical Model for Positron Emission Tomography

@article{Vardi1985ASM,
  title={A Statistical Model for Positron Emission Tomography},
  author={Y. Vardi and L. Shepp and L. Kaufman},
  journal={Journal of the American Statistical Association},
  year={1985},
  volume={80},
  pages={8-20}
}
  • Y. Vardi, L. Shepp, L. Kaufman
  • Published 1985
  • Mathematics, Physics
  • Journal of the American Statistical Association
  • Abstract Positron emission tomography (PET)—still in its research stages—is a technique that promises to open new medical frontiers by enabling physicians to study the metabolic activity of the body in a pictorial manner. Much as in X-ray transmission tomography and other modes of computerized tomography, the quality of the reconstructed image in PET is very sensitive to the mathematical algorithm to be used for reconstruction. In this article, we tailor a mathematical model to the physics of… CONTINUE READING
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    References

    SHOWING 1-10 OF 37 REFERENCES
    Positron-emission tomography.
    • 130
    • Highly Influential
    • PDF
    EM reconstruction algorithms for emission and transmission tomography.
    • 1,795
    Design and construction of the donner 280-crystal positron ring for dynamic transverse section emission imaging
    • 3
    • PDF
    Three-dimensional reconstruction from radiographs and electron micrographs: application of convolutions instead of Fourier transforms.
    • 867
    • PDF
    The Fourier reconstruction of a head section
    • 1,870
    Maximum Likelihood PET with Real Data
    • 72