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Title

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

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Published in Clinical Nuclear Medicine. 2020, vol. 45, no. 5, p. e221-e231
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.
Keywords Compartmental modelingLesion detectabilityOncologyPatlak graphical analysisPET
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PMID: 32108696
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Research groups Imagerie Médicale (TEP et TEMP) (542)
Laboratoire de neuroimagerie et de traceurs moléculaires innovants (984)
Projects FNS: 320030_176052
Swiss Cancer Research Foundation Grant KFS-3855-02-2016
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ZAKER, Neda et al. Assessment of Lesion Detectability in Dynamic Whole-Body PET Imaging Using Compartmental and Patlak Parametric Mapping. In: Clinical Nuclear Medicine, 2020, vol. 45, n° 5, p. e221-e231. doi: 10.1097/RLU.0000000000002954 https://archive-ouverte.unige.ch/unige:136983

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Deposited on : 2020-06-12

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