Abstract
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 Award | 2013 |
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Original language | English |
Awarding Institution |
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Supervisor | Alessandra Bertoldo (Supervisor) |