Using analytical and Monte Carlo modeling, we explored performance of a lightweight wearable helmet-shaped brain positron emission tomography (PET), or BET camera, based on thin-film digital Geiger avalanche photodiode arrays with Lutetium-yttrium oxyorthosilicate (LYSO) or scintillators for imaging in vivo human brain function of freely moving and acting subjects. We investigated a spherical cap BET and cylindrical brain PET (CYL) geometries with 250-mm diameter. We also considered a clinical whole-body (WB) LYSO PET/CT scanner. The simulated energy resolutions were 10.8% (LYSO) and 3.3% (), and the coincidence window was set at 2 ns. The brain was simulated as a water sphere of uniform F-18 activity with a radius of 100 mm. We found that BET achieved better noise equivalent count (NEC) performance relative to the CYL and than WB. For 10-mm-thick equivalent mass systems, LYSO (7-mm thick) had higher NEC than . We found that scintillator crystals achieved full-width-half-maximum spatial resolution without parallax errors. Additionally, our simulations showed that LYSO generally outperformed for NEC unless the timing resolution for was considerably smaller than that presently used for LYSO, i.e., well below 300 ps.