{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:EYSIRQY3EWK4XQ4NEVAEM2MFVE","short_pith_number":"pith:EYSIRQY3","schema_version":"1.0","canonical_sha256":"262488c31b2595cbc38d2540466985a93a3456a732b4c9c5145916da11030402","source":{"kind":"arxiv","id":"1708.05163","version":2},"attestation_state":"computed","paper":{"title":"RAPToR: A Resampling Algorithm for Pseudo-Polar based Tomographic Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NA","authors_text":"Shahar Tsiper, Yonina C. Eldar","submitted_at":"2017-08-17T07:47:08Z","abstract_excerpt":"We propose a stable and fast reconstruction technique for parallel-beam (PB) tomographic X-ray imaging, relying on the discrete pseudo-polar (PP) Radon transform. Our main contribution is a resampling method, based on modern sampling theory, that transforms the acquired PB measurements to a PP grid. The resampling process is both fast and accurate, and in addition, simultaneously denoises the measurements, by exploiting geometrical properties of the tomographic scan. The transformed measurements are then reconstructed using an iterative solver with total variation (TV) regularization. We show "},"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":"1708.05163","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NA","submitted_at":"2017-08-17T07:47:08Z","cross_cats_sorted":[],"title_canon_sha256":"ef95a033fbd910122247d4deb56a91e99fd59b83bb76947db0229f5f4ee18864","abstract_canon_sha256":"b5c824d88dd2f6758952c74972534b637473bb4178310d270731816d90b4c41f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:19:59.016007Z","signature_b64":"ATfdJorSsEIPLts4+o+jGkMQtDz4rVavmHwl3P3zFIpwxiFtHY1UndabUPkqczJSgJgPHw7/CKAi8Mk59jETCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"262488c31b2595cbc38d2540466985a93a3456a732b4c9c5145916da11030402","last_reissued_at":"2026-05-18T00:19:59.015463Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:19:59.015463Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"RAPToR: A Resampling Algorithm for Pseudo-Polar based Tomographic Reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NA","authors_text":"Shahar Tsiper, Yonina C. Eldar","submitted_at":"2017-08-17T07:47:08Z","abstract_excerpt":"We propose a stable and fast reconstruction technique for parallel-beam (PB) tomographic X-ray imaging, relying on the discrete pseudo-polar (PP) Radon transform. Our main contribution is a resampling method, based on modern sampling theory, that transforms the acquired PB measurements to a PP grid. The resampling process is both fast and accurate, and in addition, simultaneously denoises the measurements, by exploiting geometrical properties of the tomographic scan. The transformed measurements are then reconstructed using an iterative solver with total variation (TV) regularization. We show "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.05163","kind":"arxiv","version":2},"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":"1708.05163","created_at":"2026-05-18T00:19:59.015532+00:00"},{"alias_kind":"arxiv_version","alias_value":"1708.05163v2","created_at":"2026-05-18T00:19:59.015532+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.05163","created_at":"2026-05-18T00:19:59.015532+00:00"},{"alias_kind":"pith_short_12","alias_value":"EYSIRQY3EWK4","created_at":"2026-05-18T12:31:12.930513+00:00"},{"alias_kind":"pith_short_16","alias_value":"EYSIRQY3EWK4XQ4N","created_at":"2026-05-18T12:31:12.930513+00:00"},{"alias_kind":"pith_short_8","alias_value":"EYSIRQY3","created_at":"2026-05-18T12:31:12.930513+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/EYSIRQY3EWK4XQ4NEVAEM2MFVE","json":"https://pith.science/pith/EYSIRQY3EWK4XQ4NEVAEM2MFVE.json","graph_json":"https://pith.science/api/pith-number/EYSIRQY3EWK4XQ4NEVAEM2MFVE/graph.json","events_json":"https://pith.science/api/pith-number/EYSIRQY3EWK4XQ4NEVAEM2MFVE/events.json","paper":"https://pith.science/paper/EYSIRQY3"},"agent_actions":{"view_html":"https://pith.science/pith/EYSIRQY3EWK4XQ4NEVAEM2MFVE","download_json":"https://pith.science/pith/EYSIRQY3EWK4XQ4NEVAEM2MFVE.json","view_paper":"https://pith.science/paper/EYSIRQY3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1708.05163&json=true","fetch_graph":"https://pith.science/api/pith-number/EYSIRQY3EWK4XQ4NEVAEM2MFVE/graph.json","fetch_events":"https://pith.science/api/pith-number/EYSIRQY3EWK4XQ4NEVAEM2MFVE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EYSIRQY3EWK4XQ4NEVAEM2MFVE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EYSIRQY3EWK4XQ4NEVAEM2MFVE/action/storage_attestation","attest_author":"https://pith.science/pith/EYSIRQY3EWK4XQ4NEVAEM2MFVE/action/author_attestation","sign_citation":"https://pith.science/pith/EYSIRQY3EWK4XQ4NEVAEM2MFVE/action/citation_signature","submit_replication":"https://pith.science/pith/EYSIRQY3EWK4XQ4NEVAEM2MFVE/action/replication_record"}},"created_at":"2026-05-18T00:19:59.015532+00:00","updated_at":"2026-05-18T00:19:59.015532+00:00"}