{"paper":{"title":"Expected performance of the TT-PET scanner","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.med-ph","authors_text":"Daiki Hayakawa, Daniele Vitturini, Elzbieta Nowak, Emanuele Ripiccini, Giuseppe Iacobucci, Lorenzo Paolozzi, Marzio Nessi, Osman Ratib, Pierpaolo Valerio","submitted_at":"2018-11-29T18:50:41Z","abstract_excerpt":"The TT-PET collaboration is developing a small animal TOF-PET scanner based on silicon detectors featuring 30 ps RMS time resolution and intended to be inserted in an existing MRI scanner. The TT-PET scanner makes use of a stack of layers of high-Z photon-converter and 100 $\\mathrm{\\mu m}$ thick silicon sensors, to achieve a scanner with 0.5 $\\mathrm{\\times}$ 0.5 $\\mathrm{\\times}$ 0.2 $\\mathrm{mm^{3}}$ granularity, with precise depth-of-interaction measurement. In this paper we present the results of the Monte Carlo studies for the expected data rate, time resolution on the TOF measurements, s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.12381","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}