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oaioai:unige.ch:unige:136983

Assessment of Lesion Detectability in Dynamic Whole-Body PET Imaging Using Compartmental and Patlak Parametric Mapping

Authors
Publication date
1 January 2020
Publisher
'Ovid Technologies (Wolters Kluwer Health)'
Doi

    Abstract

    Hybrid dynamic imaging allows not only the estimation of whole-body (WB) macroparametric maps but also the estimation of microparameters in the initial bed position targeting the blood pool region containing the pathology owing to the limited axial field of view of PET scanners. In this work, we assessed the capability of multipass WB F-FDG PET parametric imaging in terms of lesion detectability through qualitative and quantitative evaluation of simulation and clinical studies

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    oaioai:unige.ch:unige:136983
    Last time updated on 21/06/2020

    This paper was published in Archive ouverte UNIGE.

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