{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:FQDAS74OWI2UFYFD42VJ3B4DUZ","short_pith_number":"pith:FQDAS74O","schema_version":"1.0","canonical_sha256":"2c06097f8eb23542e0a3e6aa9d8783a678f42329f119e6bd61d96383d3afcb61","source":{"kind":"arxiv","id":"1903.09745","version":1},"attestation_state":"computed","paper":{"title":"Fast LLMMSE filter for low-dose CT imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bowen Lin, Fengling Wang, Shiling Xie, Shujun Fu, Yuliang Li, Zhigang Zhao","submitted_at":"2019-03-23T02:17:10Z","abstract_excerpt":"Low-dose X-ray CT technology is one of important directions of current research and development of medical imaging equipment. A fast algorithm of blockwise sinogram filtering is presented for realtime low-dose CT imaging. A nonstationary Gaussian noise model of low-dose sinogram data is proposed in the low-mA (tube current) CT protocol. Then, according to the linear minimum mean square error principle, an adaptive blockwise algorithm is built to filter contaminated sinogram data caused by photon starvation. A moving sum technique is used to speed the algorithm into a linear time one, regardles"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1903.09745","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-23T02:17:10Z","cross_cats_sorted":[],"title_canon_sha256":"bfbf87eb324c7be277d987c58f5337df7030015e19db005f881a3102c6e39681","abstract_canon_sha256":"f8785fa1dacdfccc7246007308e7b2b5729acb4854e86fd85e202cdd216241ba"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:35.629661Z","signature_b64":"Xa1tHiwzCDABo4OObOTMFtQ2JXBl5mHR6j318m9ADO4KvN/MPMwKwJ/p6JdHQpSD5ZKP97RTaTl50+wJj0uyCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c06097f8eb23542e0a3e6aa9d8783a678f42329f119e6bd61d96383d3afcb61","last_reissued_at":"2026-05-17T23:50:35.628939Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:35.628939Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Fast LLMMSE filter for low-dose CT imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bowen Lin, Fengling Wang, Shiling Xie, Shujun Fu, Yuliang Li, Zhigang Zhao","submitted_at":"2019-03-23T02:17:10Z","abstract_excerpt":"Low-dose X-ray CT technology is one of important directions of current research and development of medical imaging equipment. A fast algorithm of blockwise sinogram filtering is presented for realtime low-dose CT imaging. A nonstationary Gaussian noise model of low-dose sinogram data is proposed in the low-mA (tube current) CT protocol. Then, according to the linear minimum mean square error principle, an adaptive blockwise algorithm is built to filter contaminated sinogram data caused by photon starvation. A moving sum technique is used to speed the algorithm into a linear time one, regardles"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.09745","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1903.09745","created_at":"2026-05-17T23:50:35.629057+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.09745v1","created_at":"2026-05-17T23:50:35.629057+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.09745","created_at":"2026-05-17T23:50:35.629057+00:00"},{"alias_kind":"pith_short_12","alias_value":"FQDAS74OWI2U","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_16","alias_value":"FQDAS74OWI2UFYFD","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_8","alias_value":"FQDAS74O","created_at":"2026-05-18T12:33:15.570797+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FQDAS74OWI2UFYFD42VJ3B4DUZ","json":"https://pith.science/pith/FQDAS74OWI2UFYFD42VJ3B4DUZ.json","graph_json":"https://pith.science/api/pith-number/FQDAS74OWI2UFYFD42VJ3B4DUZ/graph.json","events_json":"https://pith.science/api/pith-number/FQDAS74OWI2UFYFD42VJ3B4DUZ/events.json","paper":"https://pith.science/paper/FQDAS74O"},"agent_actions":{"view_html":"https://pith.science/pith/FQDAS74OWI2UFYFD42VJ3B4DUZ","download_json":"https://pith.science/pith/FQDAS74OWI2UFYFD42VJ3B4DUZ.json","view_paper":"https://pith.science/paper/FQDAS74O","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.09745&json=true","fetch_graph":"https://pith.science/api/pith-number/FQDAS74OWI2UFYFD42VJ3B4DUZ/graph.json","fetch_events":"https://pith.science/api/pith-number/FQDAS74OWI2UFYFD42VJ3B4DUZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FQDAS74OWI2UFYFD42VJ3B4DUZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FQDAS74OWI2UFYFD42VJ3B4DUZ/action/storage_attestation","attest_author":"https://pith.science/pith/FQDAS74OWI2UFYFD42VJ3B4DUZ/action/author_attestation","sign_citation":"https://pith.science/pith/FQDAS74OWI2UFYFD42VJ3B4DUZ/action/citation_signature","submit_replication":"https://pith.science/pith/FQDAS74OWI2UFYFD42VJ3B4DUZ/action/replication_record"}},"created_at":"2026-05-17T23:50:35.629057+00:00","updated_at":"2026-05-17T23:50:35.629057+00:00"}