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King's College London
Quantitative functional brain imaging with Positron Emission Tomography and irreversible tracers
Abstract
dc:description.abstractThis thesis presents SAIF, (Spectral Analysis with Iterative Filter),<br/>a SA-based method for the quantification of PET data investigated with<br/>irreversible-uptake tracers. SAIF has been designed in order to maintain<br/>the main advantages of SA but providing a superior robustness to measurement<br/>noise. The final aim was to create a reliable and flexible PET<br/>quantification tool, offering a valid alternative to standard methodologies<br/>for functional quantitative imaging with PET and irreversible tracers.
Degree
thesis:*- Name dc:type.qualificationname
- Doctor of Philosophy
- Level dc:type.qualificationlevel
- Doctoral Thesis
- Grantor dc:publisher.institution
- King's College London
- Year dc:date.issued
- 2013
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Veronese, Mattia
Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- oai:kclpure.kcl.ac.uk:studenttheses/582b6f52-cbcd-4214-8c6f-f88438365489
- OAI identifier oai:identifier
- oai:kclpure.kcl.ac.uk:studenttheses/582b6f52-cbcd-4214-8c6f-f88438365489