Quantitative functional brain imaging with Positron Emission Tomography and irreversible tracers

    Student thesis: Doctoral ThesisDoctor of Philosophy


    This thesis presents SAIF, (Spectral Analysis with Iterative Filter),
    a SA-based method for the quantification of PET data investigated with
    irreversible-uptake tracers. SAIF has been designed in order to maintain
    the main advantages of SA but providing a superior robustness to measurement
    noise. The final aim was to create a reliable and flexible PET
    quantification tool, offering a valid alternative to standard methodologies
    for functional quantitative imaging with PET and irreversible tracers.
    Date of Award2013
    Original languageEnglish
    Awarding Institution
    • King's College London
    • University of Padua
    SupervisorAlessandra Bertoldo (Supervisor)

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