NMF on positron emission tomography

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

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    Abstract

    In positron emission tomography, kinetic modelling of brain tracer uptake, metabolism or binding requires knowledge of the cerebral input function. Traditionally, this is achieved with arterial blood sampling in the arm or as shown in (Liptrot, M, et al., 2004) by non-invasive K-means clustering. We propose another method to estimate time-activity curves (TAC) extracted directly from dynamic positron emission tomography (PET) scans by non-negative matrix factorization (NMF). Since the scaling of the basis curves is lost in the NMF the estimated TAC is scaled by a vector alpha which is calculated from the NMF solution. The method is tested on a [18F]-Altanserin tracer ligand data set consisting of 5 healthy subjects. The results from using K-means clustering and NMF are compared to a sampled arterial TAC. The comparison is done by calculating the correlation with the arterial sampled TAC.
    Original languageEnglish
    Title of host publicationIEEE International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007.
    Place of PublicationCASSP
    PublisherCASSP
    Publication date2007
    ISBN (Print)1-4244-0727-3
    DOIs
    Publication statusPublished - 2007
    Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing - Honolulu, United States
    Duration: 15 Apr 200720 Apr 2007
    Conference number: 32

    Conference

    Conference2007 IEEE International Conference on Acoustics, Speech and Signal Processing
    Number32
    Country/TerritoryUnited States
    CityHonolulu
    Period15/04/200720/04/2007

    Bibliographical note

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