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.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:643575 |
| Date | January 2013 |
| Creators | Veronese, Mattia |
| Publisher | King's College London (University of London) |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | https://kclpure.kcl.ac.uk/portal/en/theses/quantitative-functional-brain-imaging-with-positron-emission-tomography-and-irreversible-tracers(582b6f52-cbcd-4214-8c6f-f88438365489).html |
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