Estimation of time activity curves from positron emission tomography with NMF and Bootstrap

Bjarni Bödvarsson, Lars Kai Hansen, Gitte Moos Knudsen, Claus Svarer

AbstractMeasurement of the cerebral input function in terms of the arterial plasma input time activity curve (TAC) is required for assessment and validation of the quantification of receptor binding parameters on the basis of dynamic positron emission tomography (PET) images and kinetic models [4]. A vascular input TAC can be estimated using non-negative matrix factorization (NMF) [1] [2]. The scaling of the estimated TAC is found by making assumptions on the mixing matrix in the NMF model.

To estimate how precise the estimated curve are, a resampling scheme called Bootstrap[3] is applied to the NMF estimated TACs. The Bootstrap gives error bars on the curves and this can be used to validate the precision of the solution. Correlation with the sampled TAC is used to estimate the number of components in the NMF.
KeywordsNMF, Bootstrap, PET
TypeConference paper [Abstract]
ConferenceHuman Brain Mapping 2007 Chicago
Year2007    Vol. 36    No. S1    pp. S101
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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