Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.643575
Title: Quantitative functional brain imaging with Positron Emission Tomography and irreversible tracers
Author: Veronese, Mattia
Awarding Body: King's College London (University of London)
Current Institution: King's College London (University of London)
Date of Award: 2013
Availability of Full Text:
Access through EThOS:
Access through Institution:
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.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.643575  DOI: Not available
Share: