Abstract #4271

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

Erica Silvestri^1,2,3, Marco Castellaro^1,4, Alessandra Zorz⁵, Andrea Bettinelli ^1,5, Cristina Campi⁶, Marta Paiusco⁵, Diego Cecchin^2,7, and Alessandra Bertoldo^1,2

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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