Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms.

Daisne, Jean-François;Sibomana, Mérence;Bol, Anne;Doumont, Thomas;Grégoire, Vincent;et.al.
(2003) Radiotherapy & Oncology — Vol. 69, n° 3, p. 247-250 (2003)

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Authors
  • Daisne, Jean-François
    Author
  • Sibomana, Mérence
    Author
  • Bol, AnneUCLouvain
    Author
  • Doumont, ThomasUCLouvain
    Author
  • Grégoire, VincentUCLouvain
    Author
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Abstract
A method for automatic volume segmentation of functional imaging based on a relationship between source-to-background ratio and the iso-activity level to be used is described. Such method, which has been established with radioactive spheres in a phantom, is independent of the a priori knowledge of the lesion of interest and is valid for small (>2 ml) and/or poorly contrasted (S/B>1.5) lesions. Accuracy varies slightly with the image reconstruction algorithm used.
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Daisne, J.-F., Sibomana, M., Bol, A., Doumont, T., Lonneux, M., & Grégoire, V. (2003). Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms. Radiotherapy & Oncology, 69(3), 247-250. https://doi.org/10.1016/S0167-8140(03)00270-6 (Original work published 2003)