{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:Q7JUPEGPEXDDQY7K6ZXTFYG6YZ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c52700766374c32082479c806f685b1564c93a040e96f62acedbb838cee35dd8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-28T21:44:59Z","title_canon_sha256":"9d92177062371da0c93741f4343dab37384a41d4633cb32f6f360d59d9264e2b"},"schema_version":"1.0","source":{"id":"1811.11852","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.11852","created_at":"2026-05-17T23:45:32Z"},{"alias_kind":"arxiv_version","alias_value":"1811.11852v1","created_at":"2026-05-17T23:45:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.11852","created_at":"2026-05-17T23:45:32Z"},{"alias_kind":"pith_short_12","alias_value":"Q7JUPEGPEXDD","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"Q7JUPEGPEXDDQY7K","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"Q7JUPEGP","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:a8892d5c77b7518364577b9b5d10a6d3993f18abf4fad2905eda8f288584813a","target":"graph","created_at":"2026-05-17T23:45:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Deep convolutional neural networks (DCNN) have demonstrated its capability to convert MR image to pseudo CT for PET attenuation correction in PET/MRI. Conventionally, attenuated events are corrected in sinogram space using attenuation maps derived from CT or MR-derived pseudo CT. Separately, scattered events are iteratively estimated by a 3D model-based simulation using down-sampled attenuation and emission sinograms. However, no studies have investigated joint correction of attenuation and scatter using DCNN in image space. Therefore, we aim to develop and optimize a DCNN model for attenuatio","authors_text":"Dookun Park, Grant T. Gullberg, Jae Ho Sohn, Jaewon Yang, Youngho Seo, Zhen Jane Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-28T21:44:59Z","title":"Joint Correction of Attenuation and Scatter Using Deep Convolutional Neural Networks (DCNN) for Time-of-Flight PET"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.11852","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b7673dd747e2cb5a20656ebfc7799f8746259f721de032acafced626de6de1a2","target":"record","created_at":"2026-05-17T23:45:32Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"c52700766374c32082479c806f685b1564c93a040e96f62acedbb838cee35dd8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-11-28T21:44:59Z","title_canon_sha256":"9d92177062371da0c93741f4343dab37384a41d4633cb32f6f360d59d9264e2b"},"schema_version":"1.0","source":{"id":"1811.11852","kind":"arxiv","version":1}},"canonical_sha256":"87d34790cf25c63863eaf66f32e0dec64dcc3176ed9c7a8d29a5980dca81ebce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"87d34790cf25c63863eaf66f32e0dec64dcc3176ed9c7a8d29a5980dca81ebce","first_computed_at":"2026-05-17T23:45:32.596138Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:45:32.596138Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gT6lLuX+8NhhR+dKkV0HNdgbSSxBaTKI55V4Psxunif77ns4QpIQzaTMXzw+NvVtBQgS2HzCj0kdnUwl83uCAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:45:32.596932Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.11852","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b7673dd747e2cb5a20656ebfc7799f8746259f721de032acafced626de6de1a2","sha256:a8892d5c77b7518364577b9b5d10a6d3993f18abf4fad2905eda8f288584813a"],"state_sha256":"916dc51d3c2bca754361ed9794497e129a9141c6ae67d42b1fc2bc9a4fe864be"}