{"paper":{"title":"TOF MLEM Adaptation for the Total-Body J-PET with a Realistic Analytical System Response Matrix","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.comp-ph","physics.ins-det"],"primary_cat":"physics.med-ph","authors_text":"A. Coussat, A. Gajos, A. Ruci\\'nski, B.C. Hiesmayr, C. Curceanu, D. Kumar, D. Panek, E. Czerwi\\'nski, E. Kavya Valsan, E. P\\'erez del Rio, E. St\\c{e}pie\\'n, F. Tayefi Ardebili, G. Korcyl, G. Moskal, J. Baran, J. Gajewski, K. Brzezi\\'nski, K. Dulski, K. Klimaszewski, K. Tayefi Ardebili, {\\L}. Kap{\\l}on, L. Raczy\\'nski, M. Dadgar, M. Silarski, M. Skurzok, N. Chug, P. Moskal, R.Y. Shopa, Shivani, S. Nied\\'zwiecki, S. Parzych, S. Sharma, T. Kozik, W. Krzemie\\'n, W. Wi\\'slicki","submitted_at":"2023-02-06T17:57:28Z","abstract_excerpt":"We report a study of the original image reconstruction algorithm based on the time-of-flight maximum likelihood expectation maximisation (TOF MLEM), developed for the total-body (TB) Jagiellonian PET (J-PET) scanners. The method is applicable to generic cylindrical or modular multi-layer layouts and is extendable to multi-photon imaging. The system response matrix (SRM) is represented as a set of analytical functions, uniquely defined for each pair of plastic scintillator strips used for the detection. A realistic resolution model (RM) in detector space is derived from fitting the Monte Carlo "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.02967","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2302.02967/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"}