Neural estimation of kinetic rate constants from dynamic PET-scans

Torben L. Fog, Lars Hupfeldt Nielsen, Lars Kai Hansen, Søren Holm, Ian Law, Claus Svarer, Olaf Paulson

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    A feedforward neural net is trained to invert a simple three compartment model describing the tracer kinetics involved in the metabolism of [18F]fluorodeoxyglucose in the human brain. The network can estimate rate constants from positron emission tomography sequences and is about 50 times faster than direct fitting of rate constants using the parametrized transients of the compartment model
    Original languageEnglish
    Title of host publicationProceedings of the 4th IEEE Workshop Neural Networks for Signal Processing
    Publication date1994
    ISBN (Print)07-80-32026-3
    Publication statusPublished - 1994
    EventIEEE Workshop of Neural Networks for Signal Proceesing IV - Ermioni, Greece
    Duration: 6 Sep 19948 Sep 1994
    Conference number: 4th


    WorkshopIEEE Workshop of Neural Networks for Signal Proceesing IV
    Internet address

    Bibliographical note

    Copyright: 1994 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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