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Abstract #4271

Quantification of HD-EEG net attenuation on 18F-FDG static PET: a phantom and human brain study

Erica Silvestri1,2,3, Marco Castellaro1,4, Alessandra Zorz5, Andrea Bettinelli 1,5, Cristina Campi6, Marta Paiusco5, Diego Cecchin2,7, and Alessandra Bertoldo1,2
1Department of Information Engineering, University of Padova, Padova, Italy, 2Padova Neuroscience Center, University of Padova, Padova, Italy, 3Department of Neuroscience, University of Padova, Padova, Italy, 4Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy, 5Department of Medical Physics, Veneto Institute of Oncology IOV - IRCCS, Padova, Italy, 6Department of Math, University of Padova, Padova, Italy, 7Department of Medicine, Unit of Nuclear Medicine, University of Padova, Padova, Italy

Simultaneous trimodal EEG-PET-MR imaging can be a tool to delve deeper in the healthy human brain functioning. One of the aspects scarcely investigated is the interplay between HD-EEG net and PET signal detection and reconstruction. In this work, we assess the impact of HD-EEG on both attenuation corrected (AC) and non-attenuation corrected (NAC) PET images. We found that HD-EEG net attenuates PET signal in NAC images in both phantom and human brain, respectively of 3.01%(±3.69%) and of 0.53%(±5.89%). AC images show an opposite behaviour: attenuation correction factor tends to be overestimated in CT- and UTE-derived UMAP obtained with HD-EEG net.

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